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

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com
Machine Learning Deep Learning Pytorch Natural Language Processing Data Science

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  • nanoGPT

    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)

  • Made-With-ML

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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • simple-llm-finetuner

    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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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