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 (10 months ago)

Commits 62 (last one 2 months ago)

Stargazers 124 (0 this week)

Watchers 3 (0 this week)

Forks 18

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these robertvacareanu/llm4regression is ranked #250,859 (57th percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,869/116,326.

robertvacareanu/llm4regression is also tagged with popular topics, for these it's ranked: llm (#1,403/2726), large-language-models (#562/1045), llms (#258/506), llm-inference (#89/159), sklearn (#72/123)

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: 2024-11-15 @ 10:10pm, id: 743789945 / R_kgDOLFVVeQ