Thinking Agentic AI with Seth Juarez
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Optimizing Language Models: Strategies and Insights
This chapter explores the shifting strategies in optimizing language models, emphasizing the transition from large models to more task-specific applications. The discussion includes the stochastic nature of AI responses, the importance of evaluation methods, and the evolving expectations of user interactions with AI. Additionally, it highlights the critical role of creativity in programming and the necessity for precise communication when engaging with AI tools.
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