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4min chapter
How LLMs Actually Work
AI Knowhow
Shifting Paradigms: From Fine-Tuning to Retrieval Augmented Generation
This chapter examines the transition from fine-tuning models to retrieval augmented generation (RAG) in generative AI. It highlights the advantages of RAG, including larger context lengths, cost efficiency, and easier model maintenance.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode