Ask HN: Resource to learn how to train and use ML Models

• nanoGPT

  72 36,459 4.1 Python

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  I compiled this list - https://gist.github.com/TikkunCreation/5de1df7b24800cc05b482...

  In particular, you'll probably want to skip to nanoGPT (https://github.com/karpathy/nanoGPT) and then maybe if you are interested in a bit more of the theory, Karpathy's Zero to Hero (https://karpathy.ai/zero-to-hero.html)

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• Made-With-ML

  51 37,139 1.6 Jupyter Notebook

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

• simple-llm-finetuner

  12 1,977 10.0 Jupyter Notebook

  Discontinued Simple UI for LLM Model Finetuning

  Just the appropriate reddit groups and follow folks on twitter, plus use a search engine.

  1. Learn to run a model, checkout llama.cpp Tons of free models on huggingface.com

  2. Learn to finetune a model - https://github.com/lxe/simple-llm-finetuner

  3. Learn to train one. PyTorch, TensorFlow, HuggingFace libraries, etc.

  Good luck.

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