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Description

Agentic AI frameworks integrate large language models, retrieval augmented architectures, and multi-agent coordination mechanisms to enable goal-driven planning, iterative reasoning, and adaptive task execution in complex environments. These systems enable advanced decision-making by integrating external knowledge bases, vector databases, and tool APIs, but they also require safeguards against hallucination, prompt injection, and operational latency.

Department of Primary Author

Science

Affiliation of Primary Author

Student

Publication Date

2026

Beyond Chatbots: The Rise of Agentic AI Systems

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