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Agentic AI: Unlocking Emergent Behavior in LLMs for Adaptive Workflow Automation

Toronto Machine Learning Series (TMLS) via YouTube

Overview

Dive into a 41-minute conference talk from the Toronto Machine Learning Series where Google Staff Engineer Patrick Marlow from the Vertex Applied AI Incubator explores the fascinating world of agentic AI. Learn how intelligent agents combine large language models, reasoning loops, and specialized tools to handle complex workflows that surpass traditional LLM capabilities. Discover cutting-edge techniques for fostering emergent intelligence, enabling AI agents to adapt and autonomously direct their actions for advanced workflow automation. Gain valuable insights into the practical implementation strategies of agentic AI systems and understand how these technologies can revolutionize automated task handling and decision-making processes.

Syllabus

Agentic AI: Unlocking Emergent Behavior in LLMs for Adaptive Workflow Automation

Taught by

Toronto Machine Learning Series (TMLS)

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