F
Fotios Chantzis
Publications - 1
Citations - 57
Fotios Chantzis is an academic researcher. The author has contributed to research in topics: Code generation & Language model. The author has an hindex of 1, co-authored 1 publications receiving 39 citations.
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Evaluating Large Language Models Trained on Code
Mark Chen,Jerry Tworek,Heewoo Jun,Qiming Yuan,Henrique Ponde de Oliveira Pinto,Jared Kaplan,Harrison Edwards,Yuri Burda,Nicholas Joseph,Greg Brockman,Alex Ray,Raul Puri,Gretchen Krueger,Michael Petrov,Heidy Khlaaf,Girish Sastry,Pamela Mishkin,Brooke Chan,Scott Gray,Nick Ryder,Mikhail Pavlov,Alethea Power,Lukasz Kaiser,Mohammad Bavarian,Clemens Winter,Philippe Tillet,Felipe Petroski Such,Dave Cummings,Matthias Plappert,Fotios Chantzis,Elizabeth A. Barnes,Ariel Herbert-Voss,William H. Guss,Alex Nichol,Alex Paino,Nikolas Tezak,Jie Tang,Igor Babuschkin,Suchir Balaji,Shantanu Jain,William Saunders,Christopher Hesse,Andrew N. Carr,Jan Leike,Joshua Achiam,Vedant Misra,Evan Morikawa,Alec Radford,Matthew M. Knight,Miles Brundage,Mira Murati,Katie Mayer,Peter Welinder,Bob McGrew,Dario Amodei,Samuel McCandlish,Ilya Sutskever,Wojciech Zaremba +57 more
TL;DR: Codex as discussed by the authors is a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities, showing that repeated sampling from the model is a surprisingly effective strategy for producing working solutions to difficult prompts.