4 sources
One of the clearest researchers to study for the GPT-3 era, especially around few-shot learning, scaling behavior, and what larger language models started making possible in practice.
Start HereLanguage models are few-shot learners
Researcher Profile
Editor reviewedJeff Wu
Instruction following, post-training
Co-author, GPT-4 Technical Report
A useful anchor for understanding the practical scaling-law and GPT-3 era, especially the people who turned broad intuition about scale into concrete training decisions.
Organizations
OpenAI
Labs
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Last reviewed
March 18, 2026
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Language-model scaling laws
02
GPT-3 era training and evaluation
03
Empirical work on compute-efficient model scaling
04
Instruction following, post-training
05
Training language models to follow instructions with human feedback
06
OpenAI
Start Here
Canonical papers, project pages, or repositories that anchor this profile.
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