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From Conventional LLMs to Reasoning Models to Agents

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This talk will explain how reasoning models differ from conventional LLMs, with a particular focus on inference scaling and training techniques. It will also introduce the main components of AI agents and show how reasoning models serve as the engine that enables agents to plan, use tools, evaluate intermediate results, and recover from mistakes.
Organized by ACM (Association for Computing Machinery).