
Why Your RAG System Is Broken, and How to Fix It with Jason Liu - #709
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing RAG Systems through Strategic Fine-Tuning
This chapter discusses the significance and practicality of fine-tuning within retrieval-augmented generation (RAG) systems. It highlights strategies for enhancing models like the Cohere Reranker and addresses the challenges of fine-tuning larger models amidst their ongoing performance improvements.
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