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11min chapter
Full-stack approach for effective AI agents (Practical AI #269)
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Building Trustworthy AI Agents with Practical Applications
The chapter delves into the speaker's journey from AI research to startups and back to fundamental AI research, focusing on practical and applied machine learning. It emphasizes the importance of creating AI systems as tools to assist with mundane tasks, highlighting the future of AI as action-oriented agents. The challenges of building reliable agents, the significance of domain expertise, and the necessity for rigorous evaluations are discussed in relation to developing trustworthy AI systems.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode