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Caltech machine learning intro course: https://www.youtube.com/watch?v=mbyG85GZ0PI https://www.youtube.com/watch?v=mbyG85GZ0PI karpathy's Zero to Hero series (

Caltech machine learning intro course: https://www.youtube.com/watch?v=mbyG85GZ0PI https://www.youtube.com/watch?v=mbyG85GZ0PI karpathy's Zero to Hero series (https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThs...) meta llama 2 - is open source https://github.com/facebookresearch/llama/tree/main https://github.com/facebookresearch/llama/tree/main Tools: ai - hosting Banana - Machine Learning Model Deployment on Serverless GPUs https://www.banana.dev https://www.banana.dev pinecone - vector database: https://www.pinecone.io https://www.pinecone.io how to run AI language models on a single cpu pc - https://news.ycombinator.com/item?id=34869960 https://news.ycombinator.com/item?id=34869960

zackproser 3y ago
Thanks for the mention: we've got tons of free content at https://www.pinecone.io/learn https://www.pinecone.io/learn and a lot of open-source Notebooks at github.com/pinecone-io/examples which demonstrate techniques from semantic search to question and answering to retrieval augmented generation (RAG) FWIW, our free tier is sufficient to use any of these notebooks or our open source vercel templates - so whether you're a student or just a solo dev looking to learn, you can create a free account and get started and never pay a dime - the one limitation is you can only have one index live at a time - so delete it once you're finished experimenting with a given notebook.