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LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196

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The Evolution of LLMs and the Importance of Customization

This chapter explores the use of Claude and the hundred thousand context window in vector stores. It discusses the trade-off between using bigger models versus smaller, more focused models and the parallel with the evolution of database technology. It also emphasizes the need for various flavors and versions of LLMs beyond GPT-4, customization for specific use cases, and the demand for faster inference times and smaller context lengths.

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