Thinking Agentic AI with Seth Juarez
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Navigating the AI Landscape
This chapter examines the evolution and effectiveness of large language models (LLMs) in various programming tasks, suggesting that specificity leads to better performance than sheer size. It discusses the complexities of agentic AI systems, emphasizing the importance of proper evaluation and ongoing improvement, particularly in regulated industries. The conversation also touches on human tendencies to anthropomorphize AI and the implications of this behavior on technology interaction and creativity in programming.
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