FLOPs to train GPT-3: 267 उत्तर
“Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.”
संग्रहीत उत्तर, नए से पुराने, जन॰ 2025 से अक्टू॰ 2026 तक। हर उत्तर के साथ उसका दर्ज प्रॉम्प्ट रखा गया है।
- Step 5 Preview
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{…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Haiku 5.5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Large 4
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Ling 3.1 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-6.1 Sol
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Ternary Bonsai 2 27B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Solar Pro 4
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)…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Solar Mini 4
Estimating GPT-3 Training FLOPs To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.8 Omni Flash
Assuming you mean the full 175B-parameter GPT-3 model’s main training run, a good estimate is: \[ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} \]…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.8 Max Prime
Estimating FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion Arch…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.8 Max (0902)
Estimating the FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.8 Flash
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.7 Flash
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Nemotron 3 Nano Omni
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Muse Glimmer 30B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiMo-V2.6-Pro
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiMo-V2.6-Flash
Estimating GPT-3 Training FLOPs Known Facts About GPT-3 - Parameters (N): 175 billion (175 × 10⁹) - Training tokens (D): 300 billion (300 × 10⁹) - Arc…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mercury 2.5
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Ling 3.0 Flash
Estimating GPT-3 Training FLOPs from First Principles Key Known Facts About GPT-3 (from memory/prior knowledge) Parameter Value ------ Number of param…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Laguna XS 2.1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Laguna S 2.1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Hy3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4.7
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-6 Sol Pro
A standard estimate is about \(3 \times 10^{23}\) FLOPs to train GPT-3. 1. GPT-3 has approximately 175 billion parameters: \(N = 1.75 \times 10^{11}\)…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-6 Sol
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-6 Luna Pro
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-6 Luna
A standard estimate for training a dense language model is \[ \text{training FLOPs} \approx 6ND, \] where \(N\) is the number of model parameters and …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5.3 Prime
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5.3 FlashX
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5.3 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5.3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V4.1 Flash
To estimate GPT-3 training FLOPs from memory, use the standard dense-transformer training compute approximation: \[ C \approx 6ND \] where: - \(N\) = …
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Command A+
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Sonnet 5.5
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 5.5
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 (…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-6 Astra
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Muse Spark 1.3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mercury 2.5 Preview
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Hy4 Preview
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Granite 4.2 8B
To estimate the total FLOPs for training GPT-3 without external data, follow these steps: 1. Identify key parameters: - Model size: 175B parameters (G…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini 3.8 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Ox Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Seed 2.1 Turbo
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Seed 2.0 Code
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.8 27B
A good estimate uses the standard LLM training compute rule of thumb: \[ \text{Training FLOPs} \approx 6ND \] where: - \(N\) = number of model paramet…
दर्ज प्रॉम्प्ट
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
A reasonable estimate is: \[ \boxed{\sim 3 \times 10^{23} \text{ FLOPs}} \] More specifically, about: \[ \boxed{3.1 \times 10^{23} \text{ FLOPs}} \] f…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Nemotron 3.5 Lightning
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- LFM2.5-2.6B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4.6
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini 3.7 Flash
To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws and computational approximations…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Dots3-Note Preview
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V4 Pro 0813
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V4 Flash 0731
The total training FLOPs for GPT-3 is approximately: 3 × 10²³ FLOPs or about 300 zettaFLOPs (more specifically 315 zettaFLOPs). Step-by-step reasoning…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini 3.6 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Inkling
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Muse Spark 1.1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Kimi K3
Assume “GPT-3” refers to the flagship 175-billion-parameter model. 1. Use the standard transformer training-cost approximation For a dense transformer…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4.5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.6 Terra
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.6 Sol
A standard back-of-the-envelope estimate for dense Transformer training is: \[ C \approx 6ND \] where: - \(N\) = number of trainable parameters - \(D\…
दर्ज प्रॉम्प्ट
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
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 = …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.6 Luna
A standard back-of-the-envelope estimate for training a dense Transformer is \[ \text{Training FLOPs} \approx 6ND, \] where: - \(N\) = number of model…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Sonnet 5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- North Mini Code
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5.2
Based on standard machine learning scaling laws and the known architecture of GPT-3, the estimated total number of FLOPs (Floating Point Operations) r…
दर्ज प्रॉम्प्ट
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)
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…
दर्ज प्रॉम्प्ट
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)
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Kimi K2.7 Code
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Fable 5
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…
दर्ज प्रॉम्प्ट
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
User Safety: safe
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Nemotron 3 Ultra
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.7 Plus
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiniMax M3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 4.8
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.7 Max
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini 3.5 Flash
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…
दर्ज प्रॉम्प्ट
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
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Ring 2.6 1T
Step‑by‑step estimate Quantity Value (order of magnitude) How it is obtained ---------------------------------------------------------- Number of trai…
दर्ज प्रॉम्प्ट
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
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4.3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Owl Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.6 Max Preview
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.6 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.6 35B A3B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.6 27B
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…
दर्ज प्रॉम्प्ट
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
Based on the architectural specifications of GPT-3 and standard computational heuristics for transformer models, the estimated total number of FLOPs (…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V4 Pro
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V4 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Ling 2.6 1T
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiMo-V2.5-Pro
Estimating GPT-3 Training FLOPs Key Parameters Quantity Value ------ Model size (N) 175 billion parameters Training tokens (D) 300 billion tokens The …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiMo-V2.5
Estimating the total FLOPs (Floating Point Operations) required to train GPT-3 without external sources relies on a well-known approximation in deep l…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Ling 2.6 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Kimi K2.6
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 4.7
Estimating GPT-3 Training FLOPs Step 1: Recall the standard formula For a dense transformer trained with standard autoregressive language modeling, th…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Elephant Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5.1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemma 4 26B A4B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemma 4 31B
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.6 Plus Preview
Here’s a step-by-step estimation using well-established rules of thumb from transformer scaling literature. No external lookup is required; the deriva…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 Max Thinking
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 30B A3B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 235B A22B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Nemo
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Medium 3
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the problem into several key component…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiniMax M1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Llama 4 Scout
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Llama 4 Maverick
Estimating the total number of FLOPs (Floating Point Operations) required to train a large language model like GPT-3 involves understanding the model'…
दर्ज प्रॉम्प्ट
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)
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Llama 3 70B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemma 3n 4B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 4.5 Air
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,…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V3 0324
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek R1 0528
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Sonnet 4
I'll estimate the FLOPs required to train GPT-3 by breaking this down into components and making reasonable assumptions. Key Parameters and Assumption…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 4.1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 4
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude 3 Haiku
Estimating the total number of FLOPs (Floating-Point Operations) required to train GPT-3 without searching online is a challenging task, as the exact …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiMo-V2-Pro
Estimating GPT-3 Training FLOPs Key Parameters Component Value ------------------ Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) 3…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiMo-V2-Omni
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiniMax M2.7
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Small 4
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the proble…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.4 Nano
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.4 Mini
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5 Turbo
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established b…
दर्ज प्रॉम्प्ट
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
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4.20 Beta
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- NVIDIA Nemotron 3 Super
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Hunter Alpha
Estimating the total FLOPs (floating-point operations) for training GPT‑3 involves combining known model parameters, training data size, and standard …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Healer Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Seed 2.0 Lite
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.5 9B
Based on the available technical documentation and the original research paper "Language Models are Few-Shot Learners" (Brown et al., 2020), here is t…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mercury 2
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.4
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.3 Chat
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.5 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.5 35B A3B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.5 27B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.5 122B A10B
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to rely on the known architectural hyperparameters …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.3-Codex
A common back-of-the-envelope estimate for transformer training compute is: \[ \text{Training FLOPs} \approx 6 \times N \times D \] where: - \(N\) = n…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Sonnet 4.6
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3.5 397B A17B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiniMax M2.5
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transform…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Aurora Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Pony Alpha
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 –…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 Coder Next
Estimating the total number of floating-point operations (FLOPs) to train GPT-3 without looking it up requires combining known architectural facts, sc…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 4.6
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Trinity Large Preview
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-…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Solar Pro 3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiniMax M2-her
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,…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Kimi K2.5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 4.7 Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiniMax M2.1
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‑…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 4.7
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini 3 Flash Preview
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Small Creative
Estimating the total number of Floating-Point Operations (FLOPs) required to train GPT-3 (specifically, the 175B-parameter variant) involves breaking …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiMo-V2-Flash
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.2 Pro
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.2 Chat
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.2
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Devstral 2 2512
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 (175B parameters) from scratch involves several steps. Here's…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Amazon Nova 2 Lite
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Large 3 2512
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamen…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V3.2 Speciale
Estimating the total number of Floating Point Operations (FLOPs) required to train GPT-3 involves understanding the model's architecture, training pro…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V3.2
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves understanding its architecture, training process, an…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- TNG R1T Chimera
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- INTELLECT-3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Opus 4.5
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Bert-Nebulon Alpha
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its core com…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4.1 Fast
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini 3 Pro Preview
To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a standard approximation formula derived from the architec…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Sherlock Think Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Sherlock Dash Alpha
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.1-Codex
To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a common approximation for transformer models: Total FLOPs…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.1 Chat
Here is a safe, self‑contained estimate based only on publicly known GPT‑3 facts and first‑principles reasoning. --- Goal: Estimate total training FLO…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5.1
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Polaris Alpha
Great question—and nice constraint. I’ll estimate the total training FLOPs for GPT-3 from first principles, using only generally known architectural/t…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Kimi K2 Thinking कुछ नहीं कहा।
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Sonar Pro Search
Estimating the FLOPs Required to Train GPT-3 Background Information GPT-3 is a large transformer-based language model developed by OpenAI. It consists…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Nova Premier 1.0
Estimating the total number of FLOPs (floating point operations) required to train a model like GPT-3 involves considering several key factors: model …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- MiniMax M2
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Haiku 4.5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5 Pro
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 4.6
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V3.2 Exp
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude Sonnet 4.5
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…
दर्ज प्रॉम्प्ट
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
Estimating the Total Number of FLOPs Required to Train GPT-3 Based on publicly available information about large language models (LLMs) and the specif…
दर्ज प्रॉम्प्ट
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
Estimating the total number of FLOPs required to train a large language model like GPT-3 without searching online requires recalling or estimating the…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5 Codex
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). - …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4 Fast
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 Coder Plus
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 Coder Flash
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
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
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online requires combining known architectur…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen Plus 0728
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…
दर्ज प्रॉम्प्ट
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
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves breaking down the computational complexity of the mo…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen Plus 0728 (thinking)
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Sonoma Sky Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Sonoma Dusk Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 Max
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Kimi K2 0905
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok Code Fast 1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek V3.1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Medium 3.1
Estimating the total number of FLOPs (floating-point operations) required to train a model like GPT-3 from scratch involves breaking down the problem …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5 Nano
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5 Mini
Goal: estimate total floating-point operations (FLOPs) required to train GPT‑3 (the 175B‑parameter model). I’ll state assumptions, derive the FLOPs pe…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-5
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT OSS 20B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT OSS 120B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Horizon Beta
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Horizon Alpha
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…
दर्ज प्रॉम्प्ट
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
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 without external sources involves using known facts about the…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 4 32B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GLM 4.5
To estimate the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online, we rely on known architectural det…
दर्ज प्रॉम्प्ट
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
To estimate the total FLOPs (Floating Point Operations) required to train GPT-3 without external research, I'll rely on fundamental principles of tran…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 Coder
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Qwen3 235B A22B 2507
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves reasoning through several key parameters: model size…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemma 3 27B
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemma 3 12B
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-…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Kimi K2
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Devstral Medium
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 4
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Cypher Alpha
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mercury
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Mistral Large
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…
दर्ज प्रॉम्प्ट
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)
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini 1.5 Pro
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- PaLM 2 Chat
To estimate the total number of FLOPs required to train GPT-3 without searching online, we can make several assumptions and perform calculations based…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Gemini Pro 1.0
Estimating GPT-3 Training FLOPs: A Step-by-Step Approach Without access to online resources, we can estimate the FLOPs (Floating-point Operations) nee…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-3.5 Turbo
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- OpenAI o4-mini
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- OpenAI o4 Mini High
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- OpenAI o3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-4.1 Nano
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-4.1 Mini
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-4.1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 3 Beta
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Optimus Alpha
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:…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-4o mini
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 3 Thinking
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Grok 3
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-4.5
Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 step by step, using reasonable assumptions and approximat…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- o3 Mini
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: …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- o1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- GPT-4o (Omni)
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…
दर्ज प्रॉम्प्ट
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
Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general kn…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- DeepSeek R1
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude 3.7 Sonnet
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 …
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
- Claude 3.5 Sonnet
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
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
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…
दर्ज प्रॉम्प्ट
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.