Build a RAG system with Llama 3B-Instruct for your PDFs Uses API for partitioning & chunking, FAISS for vector store, huggingface for the model It's a collab notebook so it's easy to get started! Thanks @mariaKhalusova for a great resource! https://
colab.research.google.com/drive/1BJYYyrP
Ve0_9EGyXqeNyzmVZDrCRZwsg?usp=sharing#scrollTo=Y2m2l-vt_RSp
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Build RAG System Llama 3B-Instruct PDFs FAISS
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Fine-tuning Models with New Data: Demonstrating Practical Capabilities
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I'm ready to believe fine-tunes can do useful things with new facts from their fine-tuning data… but I need to first interact with a working demo to get there!
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Selective Model Weight Updates for Production AI Systems
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Definitely a promising direction, but it doesn't look to me like that technique is useful for production scenarios yet Being able to selectively update model weights to tell a model "the new CEO of Fiat is X" would indeed be incredibly useful if it was fully reliable
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RAG vs Fine-tuning: Understanding AI Model Enhancement Techniques
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"Continue will use similarity search to automatically find important sections when answering your question" sounds like an implementation of RAG, not fine-tuning
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Deep Understanding of Fine-tuning in AI Models
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Same here The best I've seen are loose explanations that fine-tuning is better for setting things like the tone of the response or teaching the model new styles of output – or helping with problems like questions-to-SQL I want deeper understanding than that
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LoRA Fine-Tuning Chatbot Demo: Proof of Concept Needed
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So far I haven't had a single reply that has linked me to a demo of a chatbot that has used LoRA fine-tuning to learn something new I want to believe it works! But I need to see it working
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Vector Databases and RAG: Training Approaches
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Training – a vector database is RAG and I know that works already
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Embedchain Documentation Confirms Feature Support
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I think it supports that, to confirm you can check the Embedchain documentation.
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Fast Failing Unit Tests Boost Programming Velocity
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few things better for programming velocity than a failing unit test which runs fast
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LLM Apps with RAG: Explore Awesome Demos in GitHub Repository
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to get updates on the future tutorials