FLOPs to train GPT-3：267 个回答

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

已存档的回答，从新到旧，从 2025年1月到 2026年10月。每个回答都保留着记录的提示词。

Step 5 Preview StepFun, 2026年10月9日
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{…
记录的提示词
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, 2026年10月9日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Large 4 Mistral, 2026年10月6日
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…
记录的提示词
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, 2026年10月6日
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…
记录的提示词
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, 2026年9月30日
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…
记录的提示词
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, 2026年9月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Solar Pro 4 Upstage, 2026年9月28日
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)…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Solar Mini 4 Upstage, 2026年9月28日
Estimating GPT-3 Training FLOPs To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I …
记录的提示词
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, 2026年9月28日
Assuming you mean the full 175B-parameter GPT-3 model’s main training run, a good estimate is: \[ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} \]…
记录的提示词
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, 2026年9月28日
Estimating FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion Arch…
记录的提示词
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, 2026年9月28日
Estimating the FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value ----------------- Parameters (N) 175 billion Training tokens (D) 300 billion …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 Flash Qwen, 2026年9月28日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.7 Flash Qwen, 2026年9月28日
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 …
记录的提示词
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, 2026年9月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Muse Glimmer 30B Meta, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
Estimating GPT-3 Training FLOPs Known Facts About GPT-3 - Parameters (N): 175 billion (175 × 10⁹) - Training tokens (D): 300 billion (300 × 10⁹) - Arc…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mercury 2.5 Inception, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
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…
记录的提示词
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，2026年9月退役, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
Estimating GPT-3 Training FLOPs from First Principles Key Known Facts About GPT-3 (from memory/prior knowledge) Parameter Value ------ Number of param…
记录的提示词
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, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Hy3 Tencent, 2026年9月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.7 xAI, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
A standard estimate is about $3 \times 10^{23}$ FLOPs to train GPT-3. 1. GPT-3 has approximately 175 billion parameters: $N = 1.75 \times 10^{11}$…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Sol OpenAI, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Luna OpenAI, 2026年9月28日
A standard estimate for training a dense language model is \[ \text{training FLOPs} \approx 6ND, \] where $N$ is the number of model parameters and …
记录的提示词
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, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
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 …
记录的提示词
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, 2026年9月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.3 Zhipu, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
To estimate GPT-3 training FLOPs from memory, use the standard dense-transformer training compute approximation: \[ C \approx 6ND \] where: - $N$ = …
记录的提示词
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, 2026年9月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Command A+ Cohere, 2026年9月28日
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…
记录的提示词
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, 2026年9月28日
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 …
记录的提示词
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, 2026年9月28日
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 (…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-6 Astra OpenAI, 2026年9月4日
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…
记录的提示词
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, 2026年9月2日
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…
记录的提示词
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, 2026年9月2日
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…
记录的提示词
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，2026年9月退役, 2026年9月2日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Hy4 Preview Tencent, 2026年9月2日
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…
记录的提示词
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, 2026年9月2日
To estimate the total FLOPs for training GPT-3 without external data, follow these steps: 1. Identify key parameters: - Model size: 175B parameters (G…
记录的提示词
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, 2026年9月2日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Ox Alpha Code names，2026年8月退役, 2026年8月24日
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…
记录的提示词
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, 2026年8月18日
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…
记录的提示词
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, 2026年8月18日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.8 27B Qwen, 2026年8月18日
A good estimate uses the standard LLM training compute rule of thumb: \[ \text{Training FLOPs} \approx 6ND \] where: - $N$ = number of model paramet…
记录的提示词
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, 2026年8月18日
A reasonable estimate is: \[ \boxed{\sim 3 \times 10^{23} \text{ FLOPs}} \] More specifically, about: \[ \boxed{3.1 \times 10^{23} \text{ FLOPs}} \] f…
记录的提示词
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, 2026年8月18日
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…
记录的提示词
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, 2026年8月18日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.6 xAI, 2026年8月18日
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…
记录的提示词
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, 2026年8月18日
To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws and computational approximations…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Dots3-Note Preview dots, 2026年8月18日
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…
记录的提示词
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, 2026年8月18日
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…
记录的提示词
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, 2026年8月5日
The total training FLOPs for GPT-3 is approximately: 3 × 10²³ FLOPs or about 300 zettaFLOPs (more specifically 315 zettaFLOPs). Step-by-step reasoning…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 5 Anthropic, 2026年7月24日
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…
记录的提示词
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, 2026年7月23日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Inkling Thinking Machines, 2026年7月21日
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 …
记录的提示词
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, 2026年7月16日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K3 Moonshot, 2026年7月16日
Assume “GPT-3” refers to the flagship 175-billion-parameter model. 1. Use the standard transformer training-cost approximation For a dense transformer…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4.5 xAI, 2026年7月9日
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…
记录的提示词
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, 2026年7月9日
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…
记录的提示词
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, 2026年7月9日
A standard back-of-the-envelope estimate for dense Transformer training is: \[ C \approx 6ND \] where: - $N$ = number of trainable parameters - \(D\…
记录的提示词
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, 2026年7月9日
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 = …
记录的提示词
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, 2026年7月9日
A standard back-of-the-envelope estimate for training a dense Transformer is \[ \text{Training FLOPs} \approx 6ND, \] where: - $N$ = number of model…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Sonnet 5 Anthropic, 2026年6月30日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
North Mini Code Cohere, 2026年6月24日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.2 Zhipu, 2026年6月16日
Based on standard machine learning scaling laws and the known architecture of GPT-3, the estimated total number of FLOPs (Floating Point Operations) r…
记录的提示词
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, 2026年6月13日
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…
记录的提示词
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, 2026年6月13日
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…
记录的提示词
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, 2026年6月13日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Fable 5 Anthropic, 2026年6月9日
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…
记录的提示词
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, 2026年6月6日
User Safety: safe
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Nemotron 3 Ultra NVIDIA, 2026年6月6日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.7 Plus Qwen, 2026年6月4日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M3 MiniMax, 2026年6月2日
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…
记录的提示词
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, 2026年5月28日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.7 Max Qwen, 2026年5月22日
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 …
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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 3.5 Flash Google, 2026年5月19日
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…
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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，2026年6月退役, 2026年5月11日
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 …
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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，2026年5月退役, 2026年5月8日
Step‑by‑step estimate Quantity Value (order of magnitude) How it is obtained ---------------------------------------------------------- Number of trai…
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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 3.1 Flash Lite Google, 2026年5月7日
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 …
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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 4.3 xAI, 2026年5月2日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Owl Alpha Code names，2026年6月退役, 2026年4月28日
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…
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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, 2026年4月27日
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 …
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.6 Flash Qwen, 2026年4月27日
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…
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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, 2026年4月27日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.6 27B Qwen, 2026年4月27日
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…
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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, 2026年4月27日
Based on the architectural specifications of GPT-3 and standard computational heuristics for transformer models, the estimated total number of FLOPs (…
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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-5.5 OpenAI, 2026年4月24日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4 Pro DeepSeek, 2026年4月24日
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 …
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V4 Flash DeepSeek, 2026年4月24日
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…
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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，2026年5月退役, 2026年4月23日
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…
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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, 2026年4月22日
Estimating GPT-3 Training FLOPs Key Parameters Quantity Value ------ Model size (N) 175 billion parameters Training tokens (D) 300 billion tokens The …
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2.5 Xiaomi, 2026年4月22日
Estimating the total FLOPs (Floating Point Operations) required to train GPT-3 without external sources relies on a well-known approximation in deep l…
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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，2026年4月退役, 2026年4月21日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2.6 Moonshot, 2026年4月20日
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…
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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, 2026年4月16日
Estimating GPT-3 Training FLOPs Step 1: Recall the standard formula For a dense transformer trained with standard autoregressive language modeling, th…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Elephant Alpha Code names，2026年4月退役, 2026年4月14日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5.1 Zhipu, 2026年4月7日
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…
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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, 2026年4月3日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 4 31B Google, 2026年4月2日
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 …
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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，2026年4月退役, 2026年3月30日
Here’s a step-by-step estimation using well-established rules of thumb from transformer scaling literature. No external lookup is required; the deriva…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Max Thinking Qwen, 2026年3月29日
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…
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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, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 30B A3B Qwen, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 235B A22B Qwen, 2026年3月29日
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…
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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 Nemo Mistral, 2026年3月29日
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…
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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 Medium 3 Mistral, 2026年3月29日
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the problem into several key component…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M1 MiniMax, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Llama 4 Scout Meta, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Llama 4 Maverick Meta, 2026年3月29日
Estimating the total number of FLOPs (Floating Point Operations) required to train a large language model like GPT-3 involves understanding the model'…
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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, 2026年3月29日
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 …
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Llama 3 70B Meta，2026年6月退役, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 3n 4B Google，2026年8月退役, 2026年3月29日
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…
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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, 2026年3月29日
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,…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3 0324 DeepSeek, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek R1 0528 DeepSeek, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Sonnet 4 Anthropic, 2026年3月29日
I'll estimate the FLOPs required to train GPT-3 by breaking this down into components and making reasonable assumptions. Key Parameters and Assumption…
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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, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude Opus 4 Anthropic，2026年9月退役, 2026年3月29日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Claude 3 Haiku Anthropic，2026年9月退役, 2026年3月29日
Estimating the total number of FLOPs (Floating-Point Operations) required to train GPT-3 without searching online is a challenging task, as the exact …
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2-Pro Xiaomi，2026年5月退役, 2026年3月19日
Estimating GPT-3 Training FLOPs Key Parameters Component Value ------------------ Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) 3…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2-Omni Xiaomi，2026年5月退役, 2026年3月19日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2.7 MiniMax, 2026年3月18日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Small 4 Mistral, 2026年3月17日
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without external references involves breaking down the proble…
记录的提示词
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, 2026年3月17日
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…
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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-5.4 Mini OpenAI, 2026年3月17日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5 Turbo Zhipu, 2026年3月16日
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established 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.
Grok 4.20 Multi-Agent Beta xAI，2026年3月退役, 2026年3月12日
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 …
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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 4.20 Beta xAI，2026年3月退役, 2026年3月12日
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 …
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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, 2026年3月11日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Hunter Alpha Code names，2026年3月退役, 2026年3月11日
Estimating the total FLOPs (floating-point operations) for training GPT‑3 involves combining known model parameters, training data size, and standard …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Healer Alpha Code names，2026年3月退役, 2026年3月11日
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…
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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, 2026年3月10日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 9B Qwen, 2026年3月10日
Based on the available technical documentation and the original research paper "Language Models are Few-Shot Learners" (Brown et al., 2020), here is t…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mercury 2 Inception, 2026年3月5日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.4 OpenAI, 2026年3月5日
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…
记录的提示词
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, 2026年3月3日
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…
记录的提示词
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，2026年8月退役, 2026年3月3日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 Flash Qwen, 2026年2月26日
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…
记录的提示词
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, 2026年2月26日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3.5 27B Qwen, 2026年2月26日
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…
记录的提示词
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, 2026年2月26日
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to rely on the known architectural hyperparameters …
记录的提示词
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, 2026年2月25日
A common back-of-the-envelope estimate for transformer training compute is: \[ \text{Training FLOPs} \approx 6 \times N \times D \] where: - $N$ = n…
记录的提示词
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, 2026年2月19日
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…
记录的提示词
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, 2026年2月17日
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…
记录的提示词
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, 2026年2月16日
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…
记录的提示词
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, 2026年2月16日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2.5 MiniMax, 2026年2月12日
To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transform…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 5 Zhipu, 2026年2月11日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Aurora Alpha Code names，2026年2月退役, 2026年2月9日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Pony Alpha Code names，2026年2月退役, 2026年2月6日
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 –…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Next Qwen, 2026年2月4日
Estimating the total number of floating-point operations (FLOPs) to train GPT-3 without looking it up requires combining known architectural facts, sc…
记录的提示词
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, 2026年2月4日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Trinity Large Preview Arcee，2026年5月退役, 2026年1月30日
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-…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Solar Pro 3 Upstage, 2026年1月27日
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…
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2-her MiniMax, 2026年1月27日
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,…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2.5 Moonshot, 2026年1月27日
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…
记录的提示词
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, 2026年1月27日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2.1 MiniMax, 2025年12月23日
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‑…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.7 Zhipu, 2025年12月23日
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…
记录的提示词
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, 2025年12月17日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Small Creative Mistral，2026年4月退役, 2025年12月16日
Estimating the total number of Floating-Point Operations (FLOPs) required to train GPT-3 (specifically, the 175B-parameter variant) involves breaking …
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Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiMo-V2-Flash Xiaomi，2026年6月退役, 2025年12月16日
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…
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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-5.2 Pro OpenAI, 2025年12月12日
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…
记录的提示词
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, 2025年12月11日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.2 OpenAI, 2025年12月11日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Devstral 2 2512 Mistral, 2025年12月9日
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 (175B parameters) from scratch involves several steps. Here's…
记录的提示词
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, 2025年12月5日
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…
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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, 2025年12月3日
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…
记录的提示词
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, 2025年12月2日
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its fundamen…
记录的提示词
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，2026年5月退役, 2025年12月1日
Estimating the total number of Floating Point Operations (FLOPs) required to train GPT-3 involves understanding the model's architecture, training pro…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3.2 DeepSeek, 2025年12月1日
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves understanding its architecture, training process, an…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
TNG R1T Chimera TNG，2026年2月退役, 2025年11月27日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
INTELLECT-3 Prime Intellect，2026年6月退役, 2025年11月27日
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…
记录的提示词
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, 2025年11月24日
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 …
记录的提示词
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，2026年2月退役, 2025年11月24日
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves breaking down the training process into its core com…
记录的提示词
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，2026年5月退役, 2025年11月21日
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…
记录的提示词
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，2026年3月退役, 2025年11月18日
To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a standard approximation formula derived from the architec…
记录的提示词
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，2026年2月退役, 2025年11月16日
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…
记录的提示词
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，2026年2月退役, 2025年11月16日
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…
记录的提示词
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, 2025年11月13日
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…
记录的提示词
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, 2025年11月13日
To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a common approximation for transformer models: Total FLOPs…
记录的提示词
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，2026年7月退役, 2025年11月13日
Here is a safe, self‑contained estimate based only on publicly known GPT‑3 facts and first‑principles reasoning. --- Goal: Estimate total training FLO…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5.1 OpenAI, 2025年11月13日
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…
记录的提示词
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，2026年2月退役, 2025年11月10日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Polaris Alpha Code names，2026年2月退役, 2025年11月7日
Great question—and nice constraint. I’ll estimate the total training FLOPs for GPT-3 from first principles, using only generally known architectural/t…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2 Thinking Moonshot, 2025年11月6日
什么也没说。
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Sonar Pro Search Perplexity, 2025年11月3日
Estimating the FLOPs Required to Train GPT-3 Background Information GPT-3 is a large transformer-based language model developed by OpenAI. It consists…
记录的提示词
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, 2025年11月3日
Estimating the total number of FLOPs (floating point operations) required to train a model like GPT-3 involves considering several key factors: model …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
MiniMax M2 MiniMax, 2025年10月29日
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 …
记录的提示词
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, 2025年10月15日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Pro OpenAI, 2025年10月6日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.6 Zhipu, 2025年10月3日
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…
记录的提示词
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, 2025年9月29日
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…
记录的提示词
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, 2025年9月29日
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…
记录的提示词
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，2026年2月退役, 2025年9月26日
Estimating the Total Number of FLOPs Required to Train GPT-3 Based on publicly available information about large language models (LLMs) and the specif…
记录的提示词
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，2026年7月退役, 2025年9月26日
Estimating the total number of FLOPs required to train a large language model like GPT-3 without searching online requires recalling or estimating the…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Codex OpenAI，2026年8月退役, 2025年9月23日
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). - …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4 Fast xAI，2026年5月退役, 2025年9月20日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Plus Qwen, 2025年9月17日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Flash Qwen, 2025年9月17日
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…
记录的提示词
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, 2025年9月12日
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…
记录的提示词
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, 2025年9月12日
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online requires combining known architectur…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen Plus 0728 Qwen, 2025年9月12日
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…
记录的提示词
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，2026年8月退役, 2025年9月12日
Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves breaking down the computational complexity of the mo…
记录的提示词
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, 2025年9月11日
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…
记录的提示词
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，2026年2月退役, 2025年9月5日
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…
记录的提示词
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，2026年2月退役, 2025年9月5日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Max Qwen, 2025年9月5日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2 0905 Moonshot, 2025年9月5日
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…
记录的提示词
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，2026年5月退役, 2025年8月26日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek V3.1 DeepSeek, 2025年8月21日
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…
记录的提示词
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, 2025年8月13日
Estimating the total number of FLOPs (floating-point operations) required to train a model like GPT-3 from scratch involves breaking down the problem …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Nano OpenAI, 2025年8月7日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 Mini OpenAI, 2025年8月7日
Goal: estimate total floating-point operations (FLOPs) required to train GPT‑3 (the 175B‑parameter model). I’ll state assumptions, derive the FLOPs pe…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-5 OpenAI, 2025年8月7日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT OSS 20B OpenAI, 2025年8月5日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT OSS 120B OpenAI, 2025年8月5日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Horizon Beta Code names，2026年2月退役, 2025年8月2日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Horizon Alpha Code names，2026年2月退役, 2025年7月31日
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…
记录的提示词
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, 2025年7月30日
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 without external sources involves using known facts about the…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4 32B Zhipu，2026年6月退役, 2025年7月29日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GLM 4.5 Zhipu, 2025年7月28日
To estimate the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online, we rely on known architectural det…
记录的提示词
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, 2025年7月25日
To estimate the total FLOPs (Floating Point Operations) required to train GPT-3 without external research, I'll rely on fundamental principles of tran…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Qwen3 Coder Qwen, 2025年7月23日
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…
记录的提示词
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，2026年2月退役, 2025年7月21日
Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 involves reasoning through several key parameters: model size…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 3 27B Google, 2025年7月21日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Gemma 3 12B Google, 2025年7月21日
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-…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Kimi K2 Moonshot, 2025年7月12日
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…
记录的提示词
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，2026年5月退役, 2025年7月11日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Devstral Medium Mistral，2026年5月退役, 2025年7月11日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 4 xAI，2026年5月退役, 2025年7月10日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Cypher Alpha Code names，2026年2月退役, 2025年7月1日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mercury Inception，2026年4月退役, 2025年6月26日
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…
记录的提示词
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，2026年9月退役, 2025年6月5日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Mistral Large Mistral, 2025年5月9日
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…
记录的提示词
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，2026年9月退役, 2025年5月6日
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…
记录的提示词
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，2026年2月退役, 2025年4月26日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
PaLM 2 Chat Google，2026年2月退役, 2025年4月20日
To estimate the total number of FLOPs required to train GPT-3 without searching online, we can make several assumptions and perform calculations based…
记录的提示词
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，已退役, 2025年4月20日
Estimating GPT-3 Training FLOPs: A Step-by-Step Approach Without access to online resources, we can estimate the FLOPs (Floating-point Operations) nee…
记录的提示词
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，2026年2月退役, 2025年4月17日
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…
记录的提示词
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, 2025年4月17日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
OpenAI o4-mini OpenAI, 2025年4月16日
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…
记录的提示词
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, 2025年4月16日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
OpenAI o3 OpenAI, 2025年4月16日
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…
记录的提示词
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, 2025年4月14日
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…
记录的提示词
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, 2025年4月14日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4.1 OpenAI, 2025年4月14日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 3 Beta xAI，2026年5月退役, 2025年4月13日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Optimus Alpha Code names，已退役, 2025年4月11日
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:…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4o mini OpenAI, 2025年4月11日
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 …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 3 Thinking xAI, 2025年3月1日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
Grok 3 xAI，2026年5月退役, 2025年3月1日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4.5 OpenAI，2026年2月退役, 2025年3月1日
Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 step by step, using reasonable assumptions and approximat…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
o3 Mini OpenAI, 2025年2月28日
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: …
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
o1 OpenAI, 2025年2月28日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
GPT-4o (Omni) OpenAI, 2025年2月28日
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…
记录的提示词
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，已退役, 2025年2月27日
Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general kn…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.
DeepSeek R1 DeepSeek, 2025年2月27日
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…
记录的提示词
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，2026年5月退役, 2025年2月27日
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 …
记录的提示词
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，2026年4月退役, 2025年2月26日
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…
记录的提示词
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，2026年5月退役, 2025年2月26日
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…
记录的提示词
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，已退役, 2025年1月1日
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…
记录的提示词
Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

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