Bonus 2: Create OpenAI like API for Llama-3 deployed locallyhttps://t.co/Edui3AXfI6
— Shubham Saboo (@Saboo_Shubham_) 3 mai 2024
Bonus 2: Create OpenAI like API for Llama-3 deployed locally

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Bonus 2: Create OpenAI like API for Llama-3 deployed locallyhttps://t.co/Edui3AXfI6
— Shubham Saboo (@Saboo_Shubham_) 3 mai 2024
Bonus 2: Create OpenAI like API for Llama-3 deployed locally
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Bonus: 3 ways to run Llama-3 locally on your computer (100% free and without internet)
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4. LLM app with RAG using Llama-3 running locally on your computer (100% free and without internet)
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5 real-world examples of building LLM Apps with RAG in 30 lines of Python Code (step-by-step instructions):
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Editing weights is super interesting too, basically anything where the model weights themselves have been updated to introduce new knowledge in place of using RAG for that
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Something I don't understand here is that surely it would make sense to maintain the ability to tokenize as a sequence of integer characters representing the pieces that make up that string, rather than throwing an error? Any idea why tiktoken doesn't do that?