Session Overview

From Large Language Models to Autonomous Enterprise Agents.

In this technical deep dive, Ramesh Tunga explores the rapid evolution from standalone Large Language Models (LLMs) to autonomous AI Agents in the enterprise. He demystifies how Agents differ from standard chatbots by their ability to perceive, reason, act, and use tools to solve complex, multi-step problems.

The session provides a comprehensive look at the current landscape of Agentic AI, discussing the architectural components required to build robust agents and the emerging protocols that will define their future interaction.

Key Takeaways & Concepts

• From Chatbots to Agents: Understanding the paradigm shift from static text generation to dynamic agents that can execute tasks, query databases, and use external APIs.
• Agent Architecture: A deep look at the 'Brain' (LLM), 'Memory' (Context/RAG), and 'Action' (Tools) components that allow agents to plan, reason, and reflect on their outputs.
• The Protocol Wars: An analysis of emerging standards like MCP (Anthropic), ACP (IBM), and A2A (Google) that are shaping the future of multi-agent collaboration.

Presentation Deck

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Session Highlights