Decision-Making for Agents
The conversation explores the evolution of agents, from manual retrieval in GPT stores to automated delivery systems. Shingai highlights the importance of metadata on a distributed ledger, which provides transparency about an agent's origin and functionality. This system not only aids users in selecting the right agent but also offers recourse if an agent behaves unexpectedly, enhancing user trust and experience.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
809: Agentic AI — with Shingai Manjengwa
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