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Evolution and Challenges of Large Language Models
The chapter explores the origins and evolution of large language models like chat GPT, highlighting their accidental launch due to financial constraints and subsequent widespread adoption. It discusses the development of transformer models in neural net architecture, the optimization of GPUs for matrix operations, and the challenges in scaling and hosting large language models, including costs, latency issues, and partitioning complexities.