robertvacareanu / llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

Date Created 2024-01-16 (11 months ago)

Commits 62 (last one 3 months ago)

Stargazers 128 (1 this week)

Watchers 3 (0 this week)

Forks 20

License unknown

Ranking

RepositoryStats indexes 595,890 repositories, of these robertvacareanu/llm4regression is ranked #248,563 (58th percentile) for total stargazers, and #427,521 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,621/119,419.

robertvacareanu/llm4regression is also tagged with popular topics, for these it's ranked: llm (#1,476/2911), large-language-models (#580/1090), llms (#267/537), llm-inference (#96/171), sklearn (#72/125)

Other Information

robertvacareanu/llm4regression has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 2 closed issues.

All Topics

llm llms sklearn regression llm-inference llm-benchmarking linear-regression regression-models large-language-models

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62 commits on the default branch (main) since jan '22

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updated: 2024-12-19 @ 01:55am, id: 743789945 / R_kgDOLFVVeQ