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The embedding model is a critical component of retrieval-augmented generation (RAG) for large language models (LLMs). They encode the knowledge base and the query written by the user.
Using an embedding model trained or fine-tuned for the same domain as the LLM can…
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Turn Llama 3 into an Embedding Model with LLM2Vec - AI Quantum Intelligence - May 4, 2024
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