Agentic AI delivery with Llama Stack

Description

Red Hat architects Philip Hayes and Roberto Carratalá break down the evolution from generative AI to agentic AI, showcasing how Red Hat provides a stable, open, and accelerated foundation for developing and deploying innovation-ready AI workflows. Hear about the evolution of AI agents from simple tasks to complex, and discover how Llama Stack and Model Context Protocol (MCP) provide standardized, plug-and-play connections to data. 00:00 Introduction 01:23 Challenges in building AI for production 01:55 The evolution of agentic AI 05:33 The non-negotiable components of an AI agent system 06:36 Unlocking value with agentic AI 07:50 The agentic evolution of enterprise applications 10:39 Red Hat AI's stable foundation for agentic workflows 11:40 Llama Stack: Strategic advantage for enterprises 13:57 Model Context Protocol: The plug-and-play gateway 17:23 Llama Stack: A modular approach to building AI agents 18:57 Red Hat AI overview 21:21 Demo with Llama Stack and MCP 🤖 Accelerate your agentic AI journey → https://www.redhat.com/en/products/ai/agentic-ai #RedHat #AI #MCP #LlamaStack