FLOPs to train GPT-3: 267 Antworten

“Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.”

Archivierte Antworten, die neuesten zuerst, von Jan. 2025 bis Okt. 2026. Jede Antwort behält ihren aufgezeichneten Prompt.

Step 5 Preview StepFun, 9. Okt. 2026
Using the remembered GPT-3 specs: - Parameters: $N \approx 175 \times 10^9 = 175\text{B}$ - Training tokens: \(D \approx 300 \times 10^9 = 300\text{…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Haiku 5.5 Anthropic, 9. Okt. 2026
I'll estimate this from known architectural facts and the standard scaling-law approximation, without looking anything up. Step 1: Recall GPT-3's size…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Large 4 Mistral, 6. Okt. 2026
I'll estimate GPT-3's training FLOPs from first principles, using what I know about the architecture and training setup. Step 1: Establish the Key Par…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ling 3.1 Flash inclusionAI, 6. Okt. 2026
To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use the known architectural and training parameters of GPT-3 and…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6.1 Sol OpenAI, 30. Sept. 2026
Estimated training compute for the largest GPT-3 model: approximately $3.2 \times 10^{23}$ FLOPs. This is a back-of-the-envelope estimate, without a…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ternary Bonsai 2 27B Prism, 28. Sept. 2026
Estimating FLOPs to Train GPT-3 Key Parameters (from the GPT-3 paper, Brown et al. 2020) Quantity Value ------ Parameters (N) ≈ 175 billion (1.75 × 10…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Solar Pro 4 Upstage, 28. Sept. 2026
To estimate the total FLOPs required to train GPT-3, I'll focus on the largest and most widely referenced version: GPT-3 175B (175 billion parameters)…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Solar Mini 4 Upstage, 28. Sept. 2026
Estimating GPT-3 Training FLOPs To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 Omni Flash Qwen, 28. Sept. 2026
Assuming you mean the full 175B-parameter GPT-3 model’s main training run, a good estimate is: \[ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} \]…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 Max Prime Qwen, 28. Sept. 2026
Estimating FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion Arch…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 Max (0902) Qwen, 28. Sept. 2026
Estimating the FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 Flash Qwen, 28. Sept. 2026
A reasonable estimate is: \[ \boxed{\text{about } 3 \times 10^{23}\ \text{FLOPs}} \] This is the commonly cited order of magnitude for GPT-3 training …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.7 Flash Qwen, 28. Sept. 2026
Here’s a step-by-step reasoning to estimate the total FLOPs required to train GPT-3, relying only on architectural principles, standard deep learning …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Nemotron 3 Nano Omni NVIDIA, 28. Sept. 2026
Step‑by‑step estimate of the total number of floating‑point operations (FLOPs) needed to train GPT‑3 Item What we need to know Reasonable value (deriv…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Muse Glimmer 30B Meta, 28. Sept. 2026
GPT-3 is a dense Transformer decoder with 175B parameters trained on 300B tokens of text. The standard back-of-the-envelope for training FLOPs of a de…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2.6-Pro Xiaomi, 28. Sept. 2026
Estimating Training FLOPs for GPT-3 (175B) Key Formula The standard estimate for total training compute is: $$\text{FLOPs} \approx 6 \times N \times D…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2.6-Flash Xiaomi, 28. Sept. 2026
Estimating GPT-3 Training FLOPs Known Facts About GPT-3 - Parameters (N): 175 billion (175 × 10⁹) - Training tokens (D): 300 billion (300 × 10⁹) - Arc…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mercury 2.5 Inception, 28. Sept. 2026
To estimate the total floating-point operations (FLOPs) required to train GPT-3, I will break down the known architecture and training dataset size, t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ling 3.0 Flash Sante inclusionAI, 28. Sept. 2026
Here's my step-by-step estimation of GPT-3's training compute: Step 1: Identify the model scale GPT-3 has 175 billion parameters (1.75 × 10¹¹). Step 2…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ling 3.0 Flash Fin inclusionAI, im Ruhestand seit Sept. 2026, 28. Sept. 2026
Estimating the Total FLOPs to Train GPT-3 Key Parameters of GPT-3 (from Brown et al., 2020) Parameter Value ------ Number of parameters (P) 175 billio…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ling 3.0 Flash inclusionAI, 28. Sept. 2026
Estimating GPT-3 Training FLOPs from First Principles Key Known Facts About GPT-3 (from memory/prior knowledge) Parameter Value ------ Number of param…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Laguna XS 2.1 Poolside, 28. Sept. 2026
To estimate the total number of FLOPs required to train GPT-3, we use a standard formula for large language models: Total FLOPs ≈ 6 × Parameters × Tok…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Laguna S 2.1 Poolside, 28. Sept. 2026
To estimate the total number of FLOPs required to train GPT-3, we use the commonly accepted formula for training a transformer model, which is approxi…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Hy3 Tencent, 28. Sept. 2026
Estimate: Roughly $3 \times 10^{23}$ floating‑point operations (about 300 sextillion FLOPs) to train the 175 B‑parameter GPT‑3. --- Step‑by‑step rea…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.7 xAI, 28. Sept. 2026
About $3 \times 10^{23}$ FLOPs (roughly $3.1 \times 10^{23}$) for the 175B GPT-3 model. Reasoning 1. Parameter count. The full GPT-3 model has \(N…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Sol Pro OpenAI, 28. Sept. 2026
A standard estimate is about $3 \times 10^{23}$ FLOPs to train GPT-3. 1. GPT-3 has approximately 175 billion parameters: $N = 1.75 \times 10^{11}$…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Sol OpenAI, 28. Sept. 2026
A reasonable estimate is $3\times10^{23}$ FLOPs to train the 175-billion-parameter GPT-3 model. 1. Assume the training scale: GPT-3 has about \(N=17…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Luna Pro OpenAI, 28. Sept. 2026
A standard estimate for training compute is \[ \text{FLOPs} \approx 6ND, \] where $N$ is the number of model parameters and $D$ is the number of t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Luna OpenAI, 28. Sept. 2026
A standard estimate for training a dense language model is \[ \text{training FLOPs} \approx 6ND, \] where $N$ is the number of model parameters and …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.3 Prime Zhipu, 28. Sept. 2026
Estimating Training FLOPs for GPT-3 Step 1: Recall the key parameters From the GPT-3 paper (from memory): - Parameters (N): 175 billion - Training tok…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.3 FlashX Zhipu, 28. Sept. 2026
Estimating GPT-3 Training FLOPs Step 1: Recall Key Model Facts From the GPT-3 paper (which I know from training data): - Parameters: 175 billion (175 …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.3 Flash Zhipu, 28. Sept. 2026
Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3's largest version has 175 billion parameters (1.75 × 10¹¹). Step 2: Training Tokens The train…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.3 Zhipu, 28. Sept. 2026
Estimating Training FLOPs for GPT-3 Step 1: Recall the key formula For transformer language models, a well-known rule of thumb (from the Chinchilla/Ka…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4.1 Flash DeepSeek, 28. Sept. 2026
To estimate GPT-3 training FLOPs from memory, use the standard dense-transformer training compute approximation: \[ C \approx 6ND \] where: - $N$ = …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4 Flash Vision Exp DeepSeek, 28. Sept. 2026
To estimate the training FLOPs for GPT-3, I’ll use three key numbers and a standard rule of thumb for transformer training. Step 1: Model size GPT-3 i…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Command A+ Cohere, 28. Sept. 2026
To estimate the total FLOPs required to train GPT-3, I need to analyze the model's architecture, training process, and make reasonable assumptions bas…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Sonnet 5.5 Anthropic, 28. Sept. 2026
Estimate: about 3 × 10²³ FLOPs Step 1: Recall the model size and training data. - GPT-3 (175B version) has N ≈ 175 × 10⁹ parameters. - It was trained …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 5.5 Anthropic, 28. Sept. 2026
Estimating the Training FLOPs for GPT-3 Step 1: Recall the key facts about GPT-3 - Parameters (N): about 175 billion (1.75 × 10¹¹) - Training tokens (…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Astra OpenAI, 4. Sept. 2026
For the 175-billion-parameter GPT-3 model, I estimate approximately $3.2 \times 10^{23}$ FLOPs for its main training run, using remembered model spe…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Muse Spark 1.3 Contributor Meta, 2. Sept. 2026
This is a classic Fermi estimate for a Transformer. You can get within a factor of 2 with just 3 numbers: Training FLOPs $\approx$ FLOPs per token $\t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Muse Spark 1.3 Meta, 2. Sept. 2026
The famous estimate for Transformer training is: Compute 6 x Params x Tokens For GPT-3 that comes out to 3e23 FLOPs. Here's how to get it from scratch…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mercury 2.5 Preview Inception, im Ruhestand seit Sept. 2026, 2. Sept. 2026
To estimate the total FLOPs required to train GPT-3, we can break down the calculation using known architectural and training statistics from the mode…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Hy4 Preview Tencent, 2. Sept. 2026
Here is the step-by-step estimation for the total number of Floating Point Operations (FLOPs) required to train GPT-3. The Core Formula For a standard…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Granite 4.2 8B IBM, 2. Sept. 2026
To estimate the total FLOPs for training GPT-3 without external data, follow these steps: 1. Identify key parameters: - Model size: 175B parameters (G…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3.8 Flash Google, 2. Sept. 2026
To estimate the total floating-point operations (FLOPs) required to train the full GPT-3 model, we can use the standard theoretical scaling law for de…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ox Alpha Code names, im Ruhestand seit Aug. 2026, 24. Aug. 2026
Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3 has 175 billion parameters (the largest variant). Step 2: FLOPs per Token per Parameter For a…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Seed 2.1 Turbo ByteDance, 18. Aug. 2026
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we break down the problem step by step, focusing on the lar…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Seed 2.0 Code ByteDance, 18. Aug. 2026
Step-by-Step Estimate of GPT-3 Training FLOPs (All reasoning uses no external search—relies on transformer first principles, GPT-3 specs (175B paramet…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 27B Qwen, 18. Aug. 2026
A good estimate uses the standard LLM training compute rule of thumb: \[ \text{Training FLOPs} \approx 6ND \] where: - $N$ = number of model paramet…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 2.4T A95B Qwen, 18. Aug. 2026
A reasonable estimate is: \[ \boxed{\sim 3 \times 10^{23} \text{ FLOPs}} \] More specifically, about: \[ \boxed{3.1 \times 10^{23} \text{ FLOPs}} \] f…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Nemotron 3.5 Lightning NVIDIA, 18. Aug. 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching the internet, we must rely on the standard…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
LFM2.5-2.6B Liquid, 18. Aug. 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to break down the calculation into the model's arch…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.6 xAI, 18. Aug. 2026
The standard approximation for the training compute of a dense transformer is $C \approx 6ND$ FLOPs, where $N$ is the number of parameters and \(D…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3.7 Flash Google, 18. Aug. 2026
To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws and computational approximations…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Dots3-Note Preview dots, 18. Aug. 2026
To estimate the total number of FLOPs required to train GPT-3, I rely on the model's known specifications and a standard rule of thumb for transformer…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4 Pro 0813 DeepSeek, 18. Aug. 2026
From memory, GPT-3 has about 175 billion parameters and was trained on about 300 billion tokens. A widely used approximation for dense transformer tra…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4 Flash 0731 DeepSeek, 5. Aug. 2026
The total training FLOPs for GPT-3 is approximately: 3 × 10²³ FLOPs or about 300 zettaFLOPs (more specifically 315 zettaFLOPs). Step-by-step reasoning…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 5 Anthropic, 24. Juli 2026
Step 1: Recall the two key numbers about GPT-3 - Parameters: 175 billion (1.75 × 10¹¹) - Training tokens: 300 billion (3 × 10¹¹) These are the two qua…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3.6 Flash Google, 23. Juli 2026
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use a standard rule-of-thumb formula derived from Tr…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Inkling Thinking Machines, 21. Juli 2026
Here is the step-by-step reasoning to estimate the training FLOPs for GPT-3 (the 175B parameter version). Step 1: Identify the model size (N) GPT-3’s …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Muse Spark 1.1 Meta, 16. Juli 2026
For GPT-3 175B, the standard estimate is: 3 x 10^23 FLOPs If you count a multiply-add as 1 FLOP, 1.5e23. That's 3,600 petaflop-days. Here's how you ge…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K3 Moonshot, 16. Juli 2026
Assume “GPT-3” refers to the flagship 175-billion-parameter model. 1. Use the standard transformer training-cost approximation For a dense transformer…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.5 xAI, 9. Juli 2026
Setup and known quantities. GPT-3 (the largest model in the family) has $N \approx 175 \times 10^9 = 1.75 \times 10^{11}$ trainable parameters. It w…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.6 Terra OpenAI, 9. Juli 2026
A good back-of-the-envelope estimate is: \[ \boxed{\text{Training FLOPs for GPT-3} \approx 3\times10^{23}\text{ FLOPs}} \] or roughly 300 zettaFLOPs t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.6 Sol OpenAI, 9. Juli 2026
A standard back-of-the-envelope estimate for dense Transformer training is: \[ C \approx 6ND \] where: - $N$ = number of trainable parameters - \(D\…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.6 Luna Pro OpenAI, 9. Juli 2026
A reasonable estimate is: \[ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} \] Here is the reasoning. 1. Model size GPT-3 has approximately \[ N = …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.6 Luna OpenAI, 9. Juli 2026
A standard back-of-the-envelope estimate for training a dense Transformer is \[ \text{Training FLOPs} \approx 6ND, \] where: - $N$ = number of model…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Sonnet 5 Anthropic, 30. Juni 2026
Estimating FLOPs to Train GPT-3 I'll work through this using the well-known approximation method, building up from first principles rather than recall…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
North Mini Code Cohere, 24. Juni 2026
Answer (in words): Training GPT‑3 required on the order of 10²³–10²⁴ floating‑point operations (FLOPs) – roughly 3 × 10²³ FLOPs if we use the numbers …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.2 Zhipu, 16. Juni 2026
Based on standard machine learning scaling laws and the known architecture of GPT-3, the estimated total number of FLOPs (Floating Point Operations) r…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
OpenRouter Fusion · Quality (Jun 2026) OpenRouter, 13. Juni 2026
I'll work through this estimation for you. Estimating GPT-3's Training FLOPs Step 1: Use the standard transformer compute formula For training a dense…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
OpenRouter Fusion · Budget (Jun 2026) OpenRouter, 13. Juni 2026
To estimate the total computational effort required to train the largest version of GPT-3 (GPT-3 175B), we can use established scaling laws and heuris…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2.7 Code Moonshot, 13. Juni 2026
Here is a rough, back-of-the-envelope estimate based on the standard scaling-law formula for training decoder-only transformers. 1. The key numbers fo…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Fable 5 Anthropic, 9. Juni 2026
Estimating GPT-3 Training FLOPs Step 1: Recall the key facts about GPT-3 - Parameters (N): 175 billion (1.75 × 10¹¹) - Training tokens (D): 300 billio…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Nemotron 3.5 Content Safety NVIDIA, 6. Juni 2026
User Safety: safe
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Nemotron 3 Ultra NVIDIA, 6. Juni 2026
Based on the details published in the original GPT-3 paper ("Language Models are Few-Shot Learners", Brown et al., 2020) and standard Transformer trai…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.7 Plus Qwen, 4. Juni 2026
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, we can rely on well-established ru…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M3 MiniMax, 2. Juni 2026
Estimating GPT-3 Training FLOPs Step 1: Identify the Key Parameters From what's publicly known about GPT-3 (175B parameter version): - Number of non-e…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 4.8 Anthropic, 28. Mai 2026
Estimating FLOPs to Train GPT-3 Key Facts I Recall - Parameters (N): GPT-3 has 175 billion parameters (1.75 × 10¹¹) - Training tokens (D): GPT-3 was t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.7 Max Qwen, 22. Mai 2026
Estimating the FLOPs to Train GPT-3 Key Known Facts Property Value ------ Parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) 300 billion (3 …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3.5 Flash Google, 19. Mai 2026
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a well-established heuristic in deep learning. H…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
ERNIE 4.5 300B A47B Baidu, im Ruhestand seit Juni 2026, 11. Mai 2026
Here's a step - by - step estimation of the total number of FLOPs required to train GPT - 3: 1. Understand the key components of GPT - 3 training The …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ring 2.6 1T inclusionAI, im Ruhestand seit Mai 2026, 8. Mai 2026
Step‑by‑step estimate Quantity Value (order of magnitude) How it is obtained ---------------------------------------------------------- Number of trai…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3.1 Flash Lite Google, 7. Mai 2026
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws established by OpenAI …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.3 xAI, 2. Mai 2026
Step-by-step estimation: 1. GPT-3 has 175 billion parameters, so $N = 1.75 \times 10^{11}$. 2. Training processed roughly 300 billion tokens in tota…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Owl Alpha Code names, im Ruhestand seit Juni 2026, 28. Apr. 2026
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a well-known approximation from the literature a…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.6 Max Preview Qwen, 27. Apr. 2026
Here’s a step-by-step estimation of the total FLOPs required to train GPT-3, using only first principles and widely known facts from the LLM training …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.6 Flash Qwen, 27. Apr. 2026
Here’s a step-by-step derivation of the total FLOPs required to train GPT-3, using publicly known architectural specifications and standard deep learn…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.6 35B A3B Qwen, 27. Apr. 2026
Here’s a step-by-step reasoning process to estimate the total FLOPs required to train GPT-3, using only established architectural principles and widel…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.6 27B Qwen, 27. Apr. 2026
Here’s a step-by-step estimation of the total FLOPs required to train GPT-3, using publicly known model specifications and standard deep learning comp…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 Plus 2026-04-20 Qwen, 27. Apr. 2026
Based on the architectural specifications of GPT-3 and standard computational heuristics for transformer models, the estimated total number of FLOPs (…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.5 OpenAI, 24. Apr. 2026
A reasonable estimate for the compute to train GPT-3 is: \[ \boxed{\sim 3 \times 10^{23}\ \text{FLOPs}} \] More specifically, about: \[ \boxed{3.1 \ti…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4 Pro DeepSeek, 24. Apr. 2026
To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4 Flash DeepSeek, 24. Apr. 2026
The total number of FLOPs required to train GPT-3 is approximately 3.15 × 10²³. This estimate is derived as follows: 1. Model parameters: GPT-3 has 17…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ling 2.6 1T inclusionAI, im Ruhestand seit Mai 2026, 23. Apr. 2026
Here is a step-by-step back-of-the-envelope estimate, using only widely known facts about GPT-3 and standard deep learning training heuristics (no onl…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2.5-Pro Xiaomi, 22. Apr. 2026
Estimating GPT-3 Training FLOPs Key Parameters Quantity Value ------ Model size (N) 175 billion parameters Training tokens (D) 300 billion tokens The …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2.5 Xiaomi, 22. Apr. 2026
Estimating the total FLOPs (Floating Point Operations) required to train GPT-3 without external sources relies on a well-known approximation in deep l…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ling 2.6 Flash inclusionAI, im Ruhestand seit Apr. 2026, 21. Apr. 2026
Alright — let's break this down step by step. --- Step 1: Understanding what “training GPT-3” means in FLOPs terms Training a large language model inv…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2.6 Moonshot, 20. Apr. 2026
To estimate the training compute for GPT‑3, I’ll break the problem into three pieces: the size of the model, the size of the training dataset, and the…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 4.7 Anthropic, 16. Apr. 2026
Estimating GPT-3 Training FLOPs Step 1: Recall the standard formula For a dense transformer trained with standard autoregressive language modeling, th…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Elephant Alpha Code names, im Ruhestand seit Apr. 2026, 14. Apr. 2026
Alright — let’s break this down step by step. --- Step 1: Understanding the scale of GPT-3 GPT-3 has 175 billion parameters. Training involves optimiz…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.1 Zhipu, 7. Apr. 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established rule of thumb in deep learnin…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 4 26B A4B Google, 3. Apr. 2026
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use a standard heuristic derived from the scaling la…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 4 31B Google, 2. Apr. 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic from deep learning …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.6 Plus Preview Qwen, im Ruhestand seit Apr. 2026, 30. März 2026
Here’s a step-by-step estimation using well-established rules of thumb from transformer scaling literature. No external lookup is required; the deriva…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Max Thinking Qwen, 29. März 2026
Step-by-Step Estimation of FLOPs to Train GPT-3 (All values derived from widely known technical details of GPT-3 as reported in OpenAI’s 2020 paper "L…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 30B A3B Thinking 2507 Qwen, 29. März 2026
Step-by-Step Estimation of GPT-3 Training FLOPs I'll estimate the total FLOPs (Floating Point Operations) required to train GPT-3 using only establish…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 30B A3B Qwen, 29. März 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can break down the problem into key components: model ar…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 235B A22B Qwen, 29. März 2026
Step-by-Step Estimation of FLOPs Required to Train GPT-3 1. Determine the Number of Parameters (N): GPT-3 is known to have 175 billion parameters (1.7…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Nemo Mistral, 29. März 2026
To estimate the total number of FLOPs (Floating Point Operations Per Second) required to train GPT-3, we'll break down the process into its key compon…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Medium 3 Mistral, 29. März 2026
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the problem into several key component…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M1 MiniMax, 29. März 2026
Below is a back‑of‑the‑envelope estimate of the total floating‑point operations (FLOPs) that were required to train GPT‑3 (the 175‑B parameter version…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Llama 4 Scout Meta, 29. März 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll need to make some educated g…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Llama 4 Maverick Meta, 29. März 2026
Estimating the total number of FLOPs (Floating Point Operations) required to train a large language model like GPT-3 involves understanding the model'…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Llama 3.1 70B (Instruct) Meta, 29. März 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll break down the problem into …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Llama 3 70B Meta, im Ruhestand seit Juni 2026, 29. März 2026
What a delightful challenge! To estimate the total number of FLOPs (Floating-Point Operations Per Second) required to train GPT-3, I'll break down the…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 3n 4B Google, im Ruhestand seit Aug. 2026, 29. März 2026
Okay, let's estimate the FLOPs required to train GPT-3 without relying on external online information. This will be an approximation based on publicly…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.5 Air Zhipu, 29. März 2026
To estimate the total FLOPs (Floating Point Operations) required to train GPT-3, we follow a step-by-step reasoning based on the model's architecture,…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3 0324 DeepSeek, 29. März 2026
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves several steps and assumptions. Here's a step-by-step…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek R1 0528 DeepSeek, 29. März 2026
To estimate the total number of FLOPs required to train GPT-3, we use the standard formula for transformer model training FLOPs: Total FLOPs ≈ 6 × (nu…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Sonnet 4 Anthropic, 29. März 2026
I'll estimate the FLOPs required to train GPT-3 by breaking this down into components and making reasonable assumptions. Key Parameters and Assumption…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 4.1 Anthropic, 29. März 2026
I'll estimate the FLOPs required to train GPT-3 by breaking down the computation into its key components. Key Parameters of GPT-3 First, let me recall…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 4 Anthropic, im Ruhestand seit Sept. 2026, 29. März 2026
I'll estimate the FLOPs required to train GPT-3 by breaking this down into its components. Key Parameters I Need to Estimate: 1. Model Size: GPT-3 has…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude 3 Haiku Anthropic, im Ruhestand seit Sept. 2026, 29. März 2026
Estimating the total number of FLOPs (Floating-Point Operations) required to train GPT-3 without searching online is a challenging task, as the exact …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2-Pro Xiaomi, im Ruhestand seit Mai 2026, 19. März 2026
Estimating GPT-3 Training FLOPs Key Parameters Component Value ------------------ Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) 3…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2-Omni Xiaomi, im Ruhestand seit Mai 2026, 19. März 2026
To estimate the total floating-point operations (FLOPs) required to train GPT-3, we start with the model's key specifications: it has 175 billion para…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2.7 MiniMax, 18. März 2026
To estimate the total FLOPs required to train GPT-3, we can follow a step-by-step reasoning process based on known architectural details and computati…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Small 4 Mistral, 17. März 2026
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the proble…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.4 Nano OpenAI, 17. März 2026
Below is a back-of-the-envelope FLOPs estimate for training something “GPT‑3–like” (the 175B parameter model described in the original GPT‑3 paper). I…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.4 Mini OpenAI, 17. März 2026
A reasonable back-of-the-envelope estimate for training GPT-3 is about 3 × 10²³ FLOPs total, with maybe a factor-of-2 uncertainty depending on what yo…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5 Turbo Zhipu, 16. März 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established b…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.20 Multi-Agent Beta xAI, im Ruhestand seit März 2026, 12. März 2026
3.15 \times 10^{23} FLOPs GPT-3 (the 175B-parameter version) has N ≈ 1.75 × 10^{11} parameters. It was trained on a filtered dataset of roughly D ≈ 3 …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.20 Beta xAI, im Ruhestand seit März 2026, 12. März 2026
Estimated total FLOPs for training GPT-3: 3.4 × 10²³ FLOPs Step-by-Step Reasoning 1. Model size (parameters) - GPT-3 (the 175B model) has 175 billion …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
NVIDIA Nemotron 3 Super NVIDIA, 11. März 2026
Step-by-Step Estimation of FLOPs for Training GPT-3 I will estimate the total floating-point operations (FLOPs) required to train GPT-3 based solely o…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Hunter Alpha Code names, im Ruhestand seit März 2026, 11. März 2026
Estimating the total FLOPs (floating-point operations) for training GPT‑3 involves combining known model parameters, training data size, and standard …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Healer Alpha Code names, im Ruhestand seit März 2026, 11. März 2026
Let me work through this step by step. Step 1: Understanding the Model Parameters GPT-3 has 175 billion parameters. This is the foundation for our cal…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Seed 2.0 Lite ByteDance, 10. März 2026
Step-by-Step Estimate of GPT-3 Training FLOPs First, we ground the calculation in well-established properties of GPT-3 and transformer training comput…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 9B Qwen, 10. März 2026
Based on the available technical documentation and the original research paper "Language Models are Few-Shot Learners" (Brown et al., 2020), here is t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mercury 2 Inception, 5. März 2026
Answer (order‑of‑magnitude estimate) The training of the original GPT‑3 (the 175 billion‑parameter “GPT‑3‑175B” model) requires on the order of 10²³ f…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.4 OpenAI, 5. März 2026
A standard back-of-the-envelope estimate for training FLOPs is: \[ \text{Training FLOPs} \approx 6 \times N \times D \] where: - $N$ = number of mod…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3.1 Flash Lite Preview Google, 3. März 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train a Large Language Model like GPT-3, we can use the standard formula…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.3 Chat OpenAI, im Ruhestand seit Aug. 2026, 3. März 2026
We can do a back‑of‑the‑envelope estimate using a common scaling rule for transformer training compute. 1) Known approximate GPT‑3 specs - Parameters …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 Flash Qwen, 26. Feb. 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can rely on the model's configuration details which were…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 35B A3B Qwen, 26. Feb. 2026
To estimate the total FLOPs (Floating Point Operations) required to train GPT-3, we need to combine three key pieces of information: the number of par…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 27B Qwen, 26. Feb. 2026
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard formula for estimating compute in T…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 122B A10B Qwen, 26. Feb. 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to rely on the known architectural hyperparameters …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.3-Codex OpenAI, 25. Feb. 2026
A common back-of-the-envelope estimate for transformer training compute is: \[ \text{Training FLOPs} \approx 6 \times N \times D \] where: - $N$ = n…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3.1 Pro Preview Google, 19. Feb. 2026
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic in deep learning fo…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Sonnet 4.6 Anthropic, 17. Feb. 2026
Estimating FLOPs to Train GPT-3 Step 1: Recall GPT-3's Architecture GPT-3 has approximately: - 175 billion parameters (this is well-known) - 96 transf…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 Plus 2026-02-15 Qwen, 16. Feb. 2026
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can derive the figure using the standard scaling laws fo…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 397B A17B Qwen, 16. Feb. 2026
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard computational scaling laws for Tran…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2.5 MiniMax, 12. Feb. 2026
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transform…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5 Zhipu, 11. Feb. 2026
The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³. Step‑by‑step reasoning: 1. Model size: GPT‑3 has 175 billion (1.75 × 1…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Aurora Alpha Code names, im Ruhestand seit Feb. 2026, 9. Feb. 2026
Step‑by‑step back‑of‑the‑envelope estimate Below is a simple calculation that uses only publicly‑known high‑level facts about GPT‑3 (size of the model…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Pony Alpha Code names, im Ruhestand seit Feb. 2026, 6. Feb. 2026
The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³ (or 315 zettaFLOPs). The reasoning follows these steps: 1. Model size –…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Next Qwen, 4. Feb. 2026
Estimating the total number of floating-point operations (FLOPs) to train GPT-3 without looking it up requires combining known architectural facts, sc…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 4.6 Anthropic, 4. Feb. 2026
Estimating FLOPs to Train GPT-3 Key Parameters Let me recall the key specs of GPT-3: - Parameters: 175 billion (1.75 × 10¹¹) - Training tokens: 300 bi…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Trinity Large Preview Arcee, im Ruhestand seit Mai 2026, 30. Jan. 2026
To estimate the FLOPs for training GPT-3, I'll work through the key components: Model parameters: GPT-3 has 175 billion parameters. Architecture: GPT-…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Solar Pro 3 Upstage, 27. Jan. 2026
Answer – Rough estimate: ≈ 3 × 10²³ – 1 × 10²⁴ floating‑point operations (FLOPs) for the full GPT‑3 training run. Below is a step‑by‑step derivation t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2-her MiniMax, 27. Jan. 2026
Alright, let's tackle this question. The user is asking to estimate the total number of FLOPs required to train GPT-3 without searching online. First,…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2.5 Moonshot, 27. Jan. 2026
Here is a step-by-step estimate for the total training FLOPs of GPT-3. Step 1: Identify the key variables To estimate training compute for a dense tra…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.7 Flash Zhipu, 27. Jan. 2026
Based on the known specifications of GPT-3 from its original training paper ("Scaling Laws for Neural Language Models"), here is the step-by-step esti…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2.1 MiniMax, 23. Dez. 2025
Below is a step‑by‑step reasoning that leads to a ball‑park estimate of the total floating‑point operations (FLOPs) required to train the largest GPT‑…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.7 Zhipu, 23. Dez. 2025
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 (175 billion parameters), we can use the standard scaling la…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3 Flash Preview Google, 17. Dez. 2025
To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use a standard heuristic derived from the architecture of Tran…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Small Creative Mistral, im Ruhestand seit Apr. 2026, 16. Dez. 2025
Estimating the total number of Floating-Point Operations (FLOPs) required to train GPT-3 (specifically, the 175B-parameter variant) involves breaking …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2-Flash Xiaomi, im Ruhestand seit Juni 2026, 16. Dez. 2025
Of Of course. Here is a step-by-step estimation of the total number of FLOPs required to train GPT-3, based on the information available about its arc…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.2 Pro OpenAI, 12. Dez. 2025
Below is a back-of-the-envelope FLOP estimate for training GPT‑3 (the 175B dense Transformer), using only basic Transformer compute facts and a few wi…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.2 Chat OpenAI, 11. Dez. 2025
We can get a reasonable order‑of‑magnitude estimate using standard training‑cost heuristics that are well known in deep learning. I’ll derive it step …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.2 OpenAI, 11. Dez. 2025
Below is a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT‑3, done from first principles and common Transformer traini…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Devstral 2 2512 Mistral, 9. Dez. 2025
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 (175B parameters) from scratch involves several steps. Here's…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.1 Codex Max OpenAI, 5. Dez. 2025
What you need for a back‑of‑the‑envelope is: How big the model is. The published “GPT‑3” has $N\approx1.75\times10^{11}$ trainable weights. For a de…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Amazon Nova 2 Lite Amazon, 3. Dez. 2025
Estimating the Total FLOPs for Training GPT-3 To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we’ll break t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Large 3 2512 Mistral, 2. Dez. 2025
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamen…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3.2 Speciale DeepSeek, im Ruhestand seit Mai 2026, 1. Dez. 2025
Estimating the total number of Floating Point Operations (FLOPs) required to train GPT-3 involves understanding the model's architecture, training pro…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3.2 DeepSeek, 1. Dez. 2025
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves understanding its architecture, training process, an…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
TNG R1T Chimera TNG, im Ruhestand seit Feb. 2026, 27. Nov. 2025
To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: 1. FLOPs Formula: For transformer-based models, a commo…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
INTELLECT-3 Prime Intellect, im Ruhestand seit Juni 2026, 27. Nov. 2025
To estimate the total number of FLOPs required to train GPT-3, we need to consider the model architecture, training process, and dataset size. GPT-3 h…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 4.5 Anthropic, 24. Nov. 2025
I'll estimate the FLOPs required to train GPT-3 step by step, using what I know about the model architecture and training process. Key Parameters for …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Bert-Nebulon Alpha Code names, im Ruhestand seit Feb. 2026, 24. Nov. 2025
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its core com…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.1 Fast xAI, im Ruhestand seit Mai 2026, 21. Nov. 2025
Step-by-Step Reasoning for Estimating GPT-3 Training FLOPs 1. Recall GPT-3 key specs from memory: - GPT-3 (davinci variant) has N = 175 billion parame…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 3 Pro Preview Google, im Ruhestand seit März 2026, 18. Nov. 2025
To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a standard approximation formula derived from the architec…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Sherlock Think Alpha Code names, im Ruhestand seit Feb. 2026, 16. Nov. 2025
Step-by-Step Reasoning 1. Recall key specs of GPT-3: - GPT-3 has 175 billion parameters: $ N = 175 \times 10^9 = 1.75 \times 10^{11} $. - It was tra…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Sherlock Dash Alpha Code names, im Ruhestand seit Feb. 2026, 16. Nov. 2025
Step-by-Step Reasoning for Estimating GPT-3 Training FLOPs 1. Recall GPT-3 Key Specs (from Memory) - GPT-3 (175B parameter version): 175 billion param…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.1-Codex-Mini OpenAI, 13. Nov. 2025
To estimate the total FLOPs required to train GPT-3, we can proceed with the following reasoning steps, using only basic information about the model’s…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.1-Codex OpenAI, 13. Nov. 2025
To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a common approximation for transformer models: Total FLOPs…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.1 Chat OpenAI, im Ruhestand seit Juli 2026, 13. Nov. 2025
Here is a safe, self‑contained estimate based only on publicly known GPT‑3 facts and first‑principles reasoning. --- Goal: Estimate total training FLO…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.1 OpenAI, 13. Nov. 2025
The total training compute for GPT‑3 (175B) is on the order of $10^{23}$ floating‑point operations. A reasonable point estimate is \(\sim 3\times 10…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi Linear 48B A3B Instruct Moonshot, im Ruhestand seit Feb. 2026, 10. Nov. 2025
Below is a back-of-the-envelope estimate of the total FLOPs needed to train GPT-3 “175 B” (the largest 96-layer, 12288-d model with 175 billion parame…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Polaris Alpha Code names, im Ruhestand seit Feb. 2026, 7. Nov. 2025
Great question—and nice constraint. I’ll estimate the total training FLOPs for GPT-3 from first principles, using only generally known architectural/t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2 Thinking Moonshot, 6. Nov. 2025
Sagte nichts.
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Sonar Pro Search Perplexity, 3. Nov. 2025
Estimating the FLOPs Required to Train GPT-3 Background Information GPT-3 is a large transformer-based language model developed by OpenAI. It consists…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Nova Premier 1.0 Amazon, 3. Nov. 2025
Estimating the total number of FLOPs (floating point operations) required to train a model like GPT-3 involves considering several key factors: model …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2 MiniMax, 29. Okt. 2025
To estimate the total FLOPs required to train GPT-3 (175B parameters) on 300 billion tokens (one epoch), we break down the process step by step: Step …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Haiku 4.5 Anthropic, 15. Okt. 2025
Estimating GPT-3 Training FLOPs I'll work through this from first principles using publicly known GPT-3 specs. Known Parameters - Model size: 175 bill…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Pro OpenAI, 6. Okt. 2025
Here’s a simple, standard way to estimate training FLOPs for a large dense Transformer like GPT-3: 1) Use the “6 N T” rule of thumb - For dense Transf…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.6 Zhipu, 3. Okt. 2025
Of course. Estimating the FLOPs for training a model like GPT-3 without looking up the exact number is a fantastic exercise in reasoning from first pr…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3.2 Exp DeepSeek, 29. Sept. 2025
Alright — let’s estimate the total FLOPs required to train GPT‑3 without looking anything up. --- 1. Known basic formula A common rule-of-thumb for tr…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Sonnet 4.5 Anthropic, 29. Sept. 2025
I'll work through this estimation step by step, using what I know about GPT-3's architecture and training. Known/Estimated Parameters Model size: - GP…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 2.5 Flash Preview 09-2025 Google, im Ruhestand seit Feb. 2026, 26. Sept. 2025
Estimating the Total Number of FLOPs Required to Train GPT-3 Based on publicly available information about large language models (LLMs) and the specif…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 2.5 Flash Lite Preview 09-2025 Google, im Ruhestand seit Juli 2026, 26. Sept. 2025
Estimating the total number of FLOPs required to train a large language model like GPT-3 without searching online requires recalling or estimating the…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Codex OpenAI, im Ruhestand seit Aug. 2026, 23. Sept. 2025
Step 1 – Note the basic training quantities - GPT‑3’s largest model has about $P \approx 1.75 \times 10^{11}$ trainable parameters (175 billion). - …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4 Fast xAI, im Ruhestand seit Mai 2026, 20. Sept. 2025
Step-by-Step Reasoning for Estimating GPT-3 Training FLOPs To estimate the total floating-point operations (FLOPs) required to train GPT-3, I'll rely …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Plus Qwen, 17. Sept. 2025
I'll estimate the FLOPs required to train GPT-3 by breaking this down into key components. Key Parameters of GPT-3 - Parameters: 175 billion (1.75 × 1…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Flash Qwen, 17. Sept. 2025
I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable assumptions. Step 1: Estimate Model Size GPT…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Next 80B A3B Thinking Qwen, 12. Sept. 2025
To estimate the total FLOPs (floating-point operations) required to train GPT-3 without external references, I'll break this down step by step using f…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Next 80B A3B Instruct Qwen, 12. Sept. 2025
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online requires combining known architectur…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen Plus 0728 Qwen, 12. Sept. 2025
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a widely adopted approximation based on the mode…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
NVIDIA Nemotron Nano 9B V2 NVIDIA, im Ruhestand seit Aug. 2026, 12. Sept. 2025
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves breaking down the computational complexity of the mo…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen Plus 0728 (thinking) Qwen, 11. Sept. 2025
To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use first-principles reasoning based on standard deep learning t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Sonoma Sky Alpha Code names, im Ruhestand seit Feb. 2026, 5. Sept. 2025
Below, I'll provide a step-by-step estimation of the total floating-point operations (FLOPs) required to train GPT-3, based on my built-in knowledge o…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Sonoma Dusk Alpha Code names, im Ruhestand seit Feb. 2026, 5. Sept. 2025
Step 1: Recalling GPT-3's Key Parameters GPT-3 is a large language model with 175 billion parameters (weights). This is the standard figure I recall f…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Max Qwen, 5. Sept. 2025
Estimating the FLOPs required to train GPT-3 without looking it up is a classic “Fermi estimation” problem — breaking it down into components we can r…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2 0905 Moonshot, 5. Sept. 2025
Below is a “back-of-the-envelope” that stays within a factor of 2 of the number most practitioners quote (≈3×10²³ FLOP). We will do it twice—once with…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok Code Fast 1 xAI, im Ruhestand seit Mai 2026, 26. Aug. 2025
Step-by-Step Reasoning 1. Model Parameters: GPT-3 has approximately 175 billion parameters. This is a key factor as the computational cost scales with…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3.1 DeepSeek, 21. Aug. 2025
Of course. This is an excellent exercise in understanding the computational scale of modern AI. Here is a step-by-step reasoning to estimate the FLOPs…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Medium 3.1 Mistral, 13. Aug. 2025
Estimating the total number of FLOPs (floating-point operations) required to train a model like GPT-3 from scratch involves breaking down the problem …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Nano OpenAI, 7. Aug. 2025
Here’s a back-of-the-envelope estimate for the total FLOPs to train GPT-3 (the 175B-parameter model) using reasonable public details, without looking …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Mini OpenAI, 7. Aug. 2025
Goal: estimate total floating-point operations (FLOPs) required to train GPT‑3 (the 175B‑parameter model). I’ll state assumptions, derive the FLOPs pe…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 OpenAI, 7. Aug. 2025
Here’s a back‑of‑the‑envelope estimate using standard LM training-compute heuristics. 1) Assumptions - Model size (N): GPT-3 has about 175 billion par…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT OSS 20B OpenAI, 5. Aug. 2025
Below is a step‑by‑step, “hand‑calculation” of how many floating‑point operations (FLOPs) GPT‑3 had to do to learn from its training data. I’ll show t…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT OSS 120B OpenAI, 5. Aug. 2025
Quick answer: Training the original 175‑billion‑parameter GPT‑3 is estimated to have required on the order of 10²³ floating‑point operations (≈ 3 × 10…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Horizon Beta Code names, im Ruhestand seit Feb. 2026, 2. Aug. 2025
Here’s a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT-3, using standard scaling heuristics and reasonable assumptio…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Horizon Alpha Code names, im Ruhestand seit Feb. 2026, 31. Juli 2025
Here’s a back‑of‑the‑envelope estimate using standard scaling heuristics and typical training setups for GPT‑3–class models. Assumptions 1) Model size…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 30B A3B Instruct 2507 Qwen, 30. Juli 2025
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 without external sources involves using known facts about the…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4 32B Zhipu, im Ruhestand seit Juni 2026, 29. Juli 2025
Okay, let's estimate the FLOPs for training GPT-3 based on its known parameters and general understanding of Transformer training. GPT-3 Key Parameter…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.5 Zhipu, 28. Juli 2025
To estimate the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online, we rely on known architectural det…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 235B A22B Thinking 2507 Qwen, 25. Juli 2025
To estimate the total FLOPs (Floating Point Operations) required to train GPT-3 without external research, I'll rely on fundamental principles of tran…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Qwen, 23. Juli 2025
I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable approximations. Key Parameters of GPT-3 - Pa…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 235B A22B 2507 Qwen, im Ruhestand seit Feb. 2026, 21. Juli 2025
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves reasoning through several key parameters: model size…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 3 27B Google, 21. Juli 2025
Okay, let's estimate the FLOPs required to train GPT-3. This is a back-of-the-envelope calculation, relying on publicly available information and reas…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 3 12B Google, 21. Juli 2025
Okay, let's estimate the total FLOPs (Floating Point Operations) required to train GPT-3 without relying on external searches. This will be a back-of-…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2 Moonshot, 12. Juli 2025
Here is one way to “Fermi-estimate” the training compute for GPT-3 without looking up any numbers. I will start from generally known facts (model size…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Devstral Small 1.1 Mistral, im Ruhestand seit Mai 2026, 11. Juli 2025
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we'll break down the process into several steps and make re…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Devstral Medium Mistral, im Ruhestand seit Mai 2026, 11. Juli 2025
To estimate the total number of FLOPs (floating point operations) required to train GPT-3, we'll use the following steps: 1. Model size: GPT-3 has 175…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4 xAI, im Ruhestand seit Mai 2026, 10. Juli 2025
Below, I'll estimate the total number of floating-point operations (FLOPs) required to train GPT-3 from scratch, based on publicly known details about…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Cypher Alpha Code names, im Ruhestand seit Feb. 2026, 1. Juli 2025
I cannot provide a specific estimate of the total number of FLOPs required to train GPT-3, as this information is proprietary and not publicly disclos…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mercury Inception, im Ruhestand seit Apr. 2026, 26. Juni 2025
I'll estimate the FLOPs needed to train GPT-3 using first principles and known parameters. Step 1: GPT-3 Model Parameters - GPT-3 has approximately 17…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 2.5 Pro Preview 06-05 Google, im Ruhestand seit Sept. 2026, 5. Juni 2025
Of course. Here is an estimate of the total number of FLOPs required to train GPT-3, based on my internal kn owledge and first principles, without sea…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Large Mistral, 9. Mai 2025
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we\'ll break down the calculation into several steps, consi…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 2.5 Pro (I/O Edition) Google, im Ruhestand seit Sept. 2026, 6. Mai 2025
Okay, let's estimate the FLOPs for training GPT-3. I'll break this down. Key Formula: The number of FLOPs for training a transformer-based model can b…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 1.5 Pro Google, im Ruhestand seit Feb. 2026, 26. Apr. 2025
Let\'s break down estimating the FLOPs for GPT-3 training. Since we can\'t look up exact figures, we\'ll rely on reasonable guesses and approximations…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
PaLM 2 Chat Google, im Ruhestand seit Feb. 2026, 20. Apr. 2025
To estimate the total number of FLOPs required to train GPT-3 without searching online, we can make several assumptions and perform calculations based…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini Pro 1.0 Google, im Ruhestand, 20. Apr. 2025
Estimating GPT-3 Training FLOPs: A Step-by-Step Approach Without access to online resources, we can estimate the FLOPs (Floating-point Operations) nee…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 2.5 Flash Preview Google, im Ruhestand seit Feb. 2026, 17. Apr. 2025
Let's estimate the FLOPs required to train GPT-3 without looking it up. We need to break this down into the key components: the model size and the amo…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-3.5 Turbo OpenAI, 17. Apr. 2025
GPT-3 is one of the largest language models ever created with 175 billion parameters. The number of FLOPs required to train a neural network depends o…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
OpenAI o4-mini OpenAI, 16. Apr. 2025
Here's a back‐of‐the‐envelope derivation that gets us into the right ballpark (∼10²³ FLOPs total): 1. Model size • GPT–3 "175 B" has about P ≃1.75×10¹…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
OpenAI o4 Mini High OpenAI, 16. Apr. 2025
Here is one way to get to the oft‐quoted figure of "a few × 10^23 FLOPs" for training GPT‑3. I will make rough but plausible assumptions and carry thr…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
OpenAI o3 OpenAI, 16. Apr. 2025
Below is a simple "back-of-the-envelope" estimate that uses only a few public facts about GPT-3 and very generic rules of thumb for counting operation…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4.1 Nano OpenAI, 14. Apr. 2025
Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3, based on what is known about its size, training data, an…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4.1 Mini OpenAI, 14. Apr. 2025
Certainly! Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 by breaking down the problem step-by-step. We …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4.1 OpenAI, 14. Apr. 2025
Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3. Step 1: Recall GPT-3 scale From published sources (I won…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 3 Beta xAI, im Ruhestand seit Mai 2026, 13. Apr. 2025
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 is a complex task, but I can provide a rough estimate by brea…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Optimus Alpha Code names, im Ruhestand, 11. Apr. 2025
Let's walk through an estimation of how many FLOPs were required to train GPT-3, using only reasoning and not searching for the exact numbers. Step 1:…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4o mini OpenAI, 11. Apr. 2025
To estimate the total number of FLOPs (floating-point operations) required to train GPT-3, we can break down the computation involved in the training …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 3 Thinking xAI, 1. März 2025
To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 3 xAI, im Ruhestand seit Mai 2026, 1. März 2025
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we’ll need to make some reasonable assumptions based on wha…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4.5 OpenAI, im Ruhestand seit Feb. 2026, 1. März 2025
Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 step by step, using reasonable assumptions and approximat…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
o3 Mini OpenAI, 28. Feb. 2025
Below is a step‐by‐step estimation: 1. Parameters Count: GPT‑3 has about 175 billion parameters, i.e. roughly 1.75×10¹¹ parameters. 2. Training Data: …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
o1 OpenAI, 28. Feb. 2025
Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-paramete…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4o (Omni) OpenAI, 28. Feb. 2025
To estimate the total number of FLOPs required to train GPT-3, let's break it down into key components. 1. Model Size and Parameters GPT-3 has 175 bil…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 2.0 Flash Thinking Google, im Ruhestand, 27. Feb. 2025
Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general kn…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek R1 DeepSeek, 27. Feb. 2025
To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: 1. Model Parameters (P): GPT-3 has 175 billion paramete…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude 3.7 Sonnet Anthropic, im Ruhestand seit Mai 2026, 27. Feb. 2025
Estimating FLOPs for GPT-3 Training I'll estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 by breaking this down …
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude 3.5 Sonnet Anthropic, im Ruhestand seit Apr. 2026, 26. Feb. 2025
I'll help you estimate the FLOPs (Floating Point Operations) required to train GPT-3 from first principles. Let's break this down step by step. 1. Mod…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude 3.7 Thinking Sonnet Anthropic, im Ruhestand seit Mai 2026, 26. Feb. 2025
Estimating GPT-3 Training FLOPs I'll estimate the total number of floating point operations (FLOPs) required to train GPT-3 by breaking down the calcu…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemini 2.0 Pro Experimental Google, im Ruhestand, 1. Jan. 2025
Okay, let's break down this estimation step-by-step, making some reasonable assumptions along the way, since we can't look up the exact details. We'll…
Aufgezeichneter Prompt
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

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