aws-samples / fine-tuning-llm-with-domain-knowledge

This repo walks you through how to use transfer learning to fine tune a LLM (large language model) using UK Supreme Court case law as the domain specific training dataset. The model being fine-tuned is the HuggingFace GPTJ-6B model.

Date Created 2023-08-04 (about a year ago)
Commits 90 (last one about a year ago)
Stargazers 33 (0 this week)
Watchers 4 (0 this week)
Forks 4
License mit-0
Ranking

RepositoryStats indexes 584,777 repositories, of these aws-samples/fine-tuning-llm-with-domain-knowledge is ranked #547,048 (6th percentile) for total stargazers, and #373,442 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,475/17,124.

aws-samples/fine-tuning-llm-with-domain-knowledge is also tagged with popular topics, for these it's ranked: ai (#3,459/3887),  artificial-intelligence (#1,929/2064),  large-language-models (#937/1048),  ml (#564/603),  llms (#439/507),  mlops (#390/413),  machinelearning (#249/253)

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

No issues have been posted

Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-11-05 @ 02:26pm, id: 674799757 / R_kgDOKDigjQ