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Explore the evolution of AI knowledge assistants beyond basic single-LLM prompt calls in this 17-minute conference talk from the AI Engineer World's Fair. Discover advanced single-agent flows, Agentic RAG (Retrieval-Augmented Generation), multi-agent task-solving systems, and service architectures that represent the cutting edge of AI assistant technology. Learn about the newly announced Llama Agents framework, which enables agents to function as microservices that can be easily deployed and communicate through a unified API. Gain insights into how these technological advances are shaping the future landscape of knowledge assistants and their practical applications. The presentation covers both theoretical concepts and practical implementations, providing a comprehensive overview of where AI assistant technology is heading and how developers can leverage these emerging tools and frameworks.
Syllabus
The Future of Knowledge Assistants: Jerry Liu
Taught by
AI Engineer