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Agentic AI: Redefining How We Interact with Technology

Talking AI

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Navigating Trust and Efficiency in AI Processes

This chapter explores the intricate relationship between trust and the accuracy of outputs in AI systems, highlighting the importance of context and memory in data management. It discusses the dynamics between master and subordinate AI agents, including their roles in optimizing workflows and managing tasks. The chapter also anticipates the transformative impact of these technologies on the tech industry, particularly for smaller enterprises harnessing agent capabilities to exceed traditional company performance.

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