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Jul 7, 2021 · We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities.
Jul 14, 2021 · We introduce Codex, a GPT language model fine- tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A ...
This work proposes a static evaluation framework to quantify static errors in Python code completions, by leveraging Abstract Syntax Trees.
This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained on Code".
Apr 12, 2024 · Based on our results, we find that all LLMs perform much worse on class-level code generation compared to the method-level. While GPT models ...
Jul 7, 2021 · We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities.
Oct 20, 2022 · A paper that describes the research that led to Open AI's Codex, which powers Github Copilot. Codex's overarching goal is to be a system that can generate code ...
Video for Evaluating large language models trained on code
Jul 15, 2021 · Notion Link: https://ebony-scissor-725.notion.site/Henry-AI-Labs-Weekly-Update-July-15th-2021 ...
Duration: 26:19
Posted: Jul 15, 2021
Summary: A video description of the paper entitled "Evaluating Large Language Models Trained on Code" by M. Chen et al. published on arxiv in July 2021.
This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained on Code".