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openai/gpt-3

gpt-3

GPT-3: Language Models are Few-Shot Learners

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OpenAI

OpenAI

openai • ai-lab

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Created

May 18, 2020

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README Summary

[arXiv link](https://arxiv.org/abs/2005.14165) > Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this method still requires task-specific fine-tuning datasets of thousands or tens of thousands of examples. By contrast, humans can generally perform a new language task from only a few examples or from simple instructions – something wh

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AI Dev Skills

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Autoregressive Language ModelingDeep LearningFew-Shot LearningIn-Context LearningLanguage Model Pre-trainingLarge Language ModelsNatural Language ProcessingTransformer Architecture

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Autoregressive Language ModelingDeep LearningFew-Shot LearningIn-Context LearningLanguage Model Pre-trainingLarge Language ModelsNatural Language ProcessingTransformer ArchitectureForkedOpenAIResearch / PapersStatistics

Taxonomy

AI Trends

Large Language ModelsFoundation ModelsFew-Shot LearningIn-Context Learning

category

Foundation ModelsLearning ResourcesData Science & Analytics

Deployment Context

Cloud API

Modalities

Text

Skill Areas

Large Language ModelsFew-Shot LearningTransformer ArchitectureNatural Language ProcessingDeep LearningLanguage Model Pre-trainingIn-Context LearningAutoregressive Language Modeling

tag

ForkedLarge Language ModelsOpenAIResearch / PapersStatistics

Use Cases

Language Model ResearchFew-Shot Text GenerationNatural Language UnderstandingText CompletionLanguage Model Evaluation

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Updated 5 years ago

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research
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medium
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research

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Foundation ModelsPrimarySearch & KnowledgeOther AI / MLLearning ResourcesData Science & Analytics

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Timeline

Project created
May 18, 2020
Forked
Mar 14, 2026
Your last push
5 years ago
Upstream last push
5 years ago
Tracked since
Sep 18, 2020

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