Evaluating Large Language Models Trained on Code
Milestone Papers
Evaluating Large Language Models Trained on Code

(2021-08) Codex by OpenAI

Paper
(2021-08) Codex by OpenAI

Relevant Sites

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

(2023-04) Pythia by EleutherAI et al.

On the Opportunities and Risks of Foundation Models

(2021-08) Foundation Models by Stanford

GPT-4 Technical Report

(2023-03) GPT 4 by OpenAI

Unifying Language Learning Paradigms

(2022-05) UL2 by Google

Scaling Laws for Neural Language Models

(2020-01) Scaling Law by OpenAI

Qwen2.5 Technical Report

(2024-12) Qwen2.5 by Alibaba

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