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Case Studies: Agentic AI in Real-World Applications

Sumit Ranjan, Divya Chembachere, Lanwin Lobo

Apress eBooks
Licence : non indiquée (tous droits réservés)

Résumé : Agentic artificial intelligence (AI) represents a critical inflection point in the evolution of intelligent systems—shifting from passive tools to autonomous, adaptive entities capable of pursuing goals with minimal human oversight. Unlike traditional AI, which operates within predefined rules or static data inputs, Agentic AI systems are designed to reason, learn, and act independently, adjusting to their environment and refining their strategies over time.

Publié le 01 Jan. 2025