#338 · Primary category: AI Tool Directories & Curated Lists
awesome-llms-fine-tuning
Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!
Project last updated:12/02/24
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525
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79
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4
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Why we included this project
For anyone adapting a pre-trained model instead of training from scratch, this curated index pulls together the fine-tuning resources scattered across the web into a single place: GitHub projects, tutorials, courses, research papers, and conference material. It works as a full learning path, from beginner-friendly blog posts and online courses up to papers and slides, so both newcomers and researchers can find the level they need. The GitHub projects section is especially useful, with short plain-language notes on tools like LLaMA-Factory, lit-gpt, AutoTrain, and H2O LLM Studio, so you can get a feel for what each one does before diving into a stack. This is a reference map rather than software you run, but for a fast-moving field it saves you a lot of hunting.
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