Evaluating large language models trained on code

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https://service.tib.eu/ldmservice/dataset/4bc35894-a03c-462b-a0e0-fc3dffd0d227

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资源简介：

The paper presents the results of the OpenAI Codex evaluation on generating Python code.

提供机构：

TIB

创建时间：

2024-12-16

A Systematic Evaluation of Large Language Models of Code

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NIAID Data Ecosystem40

A Systematic Evaluation of Large Language Models of Code

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A Systematic Evaluation of Large Language Models of Code

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Test sets of ~100 files in each of 12 programming languages. These files are not included in The Pile, and thus models such as GPT-Neo, GPT-J, GPT-NeoX were not trained on them. In the paper, we use t

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A Systematic Evaluation of Large Language Models of Code

Zenodo2022-03-10 更新00