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DeepSeek reality check; Amazon, Kuiper, Bezos, and the Post; lost in the Microsoft garage

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Refining AI Through Post-Training and Feedback Mechanisms

This chapter explores the intricacies of post-training for AI models, focusing on instruction tuning and reinforcement learning to enhance task-specific performance. It also raises critical discussions about censorship, creativity, and the balance between control and innovation in AI responses.

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