Fine-tuning Embeddings for RAG applications
Author(s): Anuar Sharafudinov Originally published on Towards AI. Credits: GPT4o The rise of the Retrieval-Augmented Generation (RAG) has revolutionized how we build intelligent applications. At its core, RAG is all about efficiently turning large chunks of text into actionable embeddings and then …
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