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A Conversation with Michael Brown About Designing AI Systems

Unsupervised Learning

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AI in System Design: Balancing Roles

This chapter explores the debate on the role of artificial intelligence in system design, contrasting AI-led approaches with robust systems using AI as an assistant. It highlights the limitations of large language models in complex tasks and argues for a modular approach that leverages both traditional methods and AI-driven techniques. Through examples from a competitive AI Cyber Challenge, the conversation emphasizes the importance of problem formulation and understanding context to effectively implement AI solutions.

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