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Advancements in AI Reasoning and Model Optimization
This chapter explores the evolution of AI reasoning, focusing on the R1, R10 model that employs unique reinforcement learning techniques. It discusses challenges in language processing, the training of distilled models for efficiency, and the balance between performance and user experience. A live demo showcases the practical applications of these models in real-time computing, emphasizing the implications of model size on performance and privacy.