ksm26 / Finetuning-Large-Language-Models

Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.

Date Created 2023-10-19 (about a year ago)

Commits 23 (last one about a year ago)

Stargazers 46 (0 this week)

Watchers 1 (0 this week)

Forks 32

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RepositoryStats indexes 595,856 repositories, of these ksm26/Finetuning-Large-Language-Models is ranked #490,421 (18th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,114/17,543.

ksm26/Finetuning-Large-Language-Models is also tagged with popular topics, for these it's ranked: machine-learning (#6,997/8063), large-language-models (#868/1090)

Other Information

Homepage URL: https://www.deeplearning.ai/short-courses/finetuning-large-language-models/

All Topics

data-scientist fine-tune-llms nlp-enthusiast adaptive-models machine-learning model-adaptation large-language-models advanced-nlp-techniques data-preparation-for-nlp language-model-fine-tuning model-training-and-evaluation finetuning-large-language-models

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

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The only known language in this repository is Jupyter Notebook

updated: 2024-12-04 @ 01:05pm, id: 707267669 / R_kgDOKigMVQ