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 34 (0 this week)

Watchers 4 (0 this week)

Forks 4

License mit-0

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RepositoryStats indexes 595,856 repositories, of these aws-samples/fine-tuning-llm-with-domain-knowledge is ranked #551,568 (7th percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,653/17,543.

aws-samples/fine-tuning-llm-with-domain-knowledge is also tagged with popular topics, for these it's ranked: ai (#3,587/4073), artificial-intelligence (#1,957/2113), large-language-models (#968/1090), ml (#572/614), llms (#459/537), mlops (#393/421), machinelearning (#249/255)

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ai ml llms mlops machinelearning large-language-models artificial-intelligence

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updated: 2024-12-05 @ 07:14pm, id: 674799757 / R_kgDOKDigjQ