
Cartesia AI with Karan Goel - Weaviate Podcast #113!
Weaviate Podcast
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Advancements in Retrieval Augmented Generation
This chapter explores the innovative Fusion in Decoder approach by DeepMind, focusing on how it enhances reasoning in smaller RAG models using pre-computed embeddings. It discusses the evolution of retrieval systems, the implications of context size and efficiency in model architectures, and the importance of user feedback in refining machine learning systems. Additionally, the chapter addresses the challenges of building LLM inference services and the future of architectures that prioritize continuous improvement.
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