Language Models are Few-Shot Learners

Sandhini Agarwal is a researcher at OpenAI. Her OpenReview profile lists her as a researcher at OpenAI (2020–present) and an undergraduate student at Stanford University (2015–2019).

Christopher Berner is an OpenAI contributor listed on the OpenAI GPT-4 contributions page.

Chief Research Officer at OpenAI.

OpenAI engineer focused on GPU systems and large-model infrastructure, with public contributions to GPT-4 and earlier OpenAI research on efficient GPU kernels and code models.

Software engineer at OpenAI focused on inference. Previously studied computer science at Princeton University.

Mateusz Litwin is listed as an author of the OpenAI technical report Language Models are Few-Shot Learners.

Research scientist at Google DeepMind working on Gemini. He previously worked at Meta, OpenAI, and Google Brain, and earned a PhD from UMass Amherst.

Alec Radford is a researcher and a co-author of the GPT-4 Technical Report. His GitHub profile links to his personal website at newmu.github.io.

Researcher at OpenAI and co-creator of DALL-E who works on multimodal generative models and image generation.

Nick Ryder is VP of Research, Foundations at OpenAI and a contributor to GPT-4. He previously studied mathematics at UC Berkeley and Rice University.

Research scientist at OpenAI interested in AI safety, alignment, governance, and technical safety.

Engineer and founder who previously worked at OpenAI, Palantir, and Lyft and now builds the AI search startup Basalt. He publishes public writing on AI products and software on his personal site.

Member of technical staff at OpenAI whose public profile notes leadership of the MT+MX team from 2020 to 2025 after earlier engineering work at Google.

Computer scientist and AI researcher who co-founded OpenAI and served as its chief scientist.

Clemens Winter writes publicly about reinforcement learning and machine learning systems, and official OpenAI materials credit him on GPT-4 and GPT-4.5 work. Accessible public sources do not clearly establish a current employer.

Researcher at OpenAI working on language model training and evaluation, and co-author of the GPT-4 Technical Report.

Co-founder and CEO of Anthropic.

His GitHub profile says he works on robust and aligned AI at Anthropic and previously worked at OpenAI and Google Brain. He is the first author of the GPT-3 paper 'Language Models are Few-Shot Learners'.

Public conference bios describe Benjamin Mann as a co-founder and member of the technical staff at Anthropic. They also describe earlier OpenAI work on infrastructure, efficiency, and safety for GPT-3.

Melanie Subbiah is an independent AI researcher based in New York City. Her work focuses on language and multimodal AI, especially commonsense reasoning and communicative behavior.

Jared D. Kaplan is the co-founder and chief science officer of Anthropic. Public biographies also describe his earlier work on GPT-3 and Codex at OpenAI and his background in theoretical physics.

Research scientist at OpenAI focused on generative models and unsupervised learning. He studied computers, mathematics, and physics at MIT and has contributed to models including GPT-3, Jukebox, and DALL·E.

Amanda Askell is a philosopher and AI alignment researcher at Anthropic. Her personal site says she previously worked as a research scientist on the policy team at OpenAI.

Ariel Herbert-Voss is a computer scientist whose public homepage notes previous work on AI safety and special projects at OpenAI, along with later work on digital humans and universal basic income initiatives.

Canonical link

Sandhini Agarwal

Christopher Berner

Mark Chen

Scott Gray

Gretchen Krueger

Mateusz Litwin

Arvind Neelakantan

Alec Radford

Aditya Ramesh

Nick Ryder

Girish Sastry

Pranav Shyam

Eric Sigler

Ilya Sutskever

Clemens Winter

Jeff Wu

Dario Amodei

Tom B. Brown

Benjamin Mann

Melanie Subbiah

Jared D. Kaplan

Prafulla Dhariwal

Amanda Askell

Ariel Herbert-Voss