Release dates
— The GPT-3 paper documented few-shot learning at 175B parameters. ↗
GPT-3
A 175B autoregressive model that systematically demonstrated few-shot and in-context learning without fine-tuning.
MODEL NUMBER002
- First public date
- 2020-05-28
- Organization
- OpenAI
- Family
- GPT
01
Specifications
Only published specifications are shown.
- Total parameters
- 175B
- Architecture
- Dense
- Context
- 2,048 tokens
- Input modalities
- Text
- Open weights
- No
- Status
- Legacy
02
Overview
Why it mattered
GPT-3 turned prompts into a general-purpose task interface and catalyzed the commercial model API ecosystem.
PreviousGPT-21.5B · 1K ctx
CurrentGPT-3175B · 2K ctx
04
Architecture & capabilities
Model capabilities
Few-shot learningIn-context learning
05
Release history
The GPT-3 paper documented few-shot learning at 175B parameters.
View source06
Related models
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07
Sources
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