Large Language Model Agents
Large Language Models (LLMs) have brought revolutionary changes in various fields. Specifically, LLMs have been developed as agents capable of interacting with the world and handling various tasks. With the continuous advancement of LLM technology, LLM agents are expected to become the next breakthrough in artificial intelligence, fundamentally transforming our daily lives in the future through the automation of intelligent tasks and personalized support. In this course, we will first discuss some basic concepts required for LLM agents, including the fundamentals of LLMs, the essential capabilities for task automation, and the infrastructure for agent development. We will also cover several representative applications of agents, including code generation, robotics, network automation, medical applications, and scientific discovery. At the same time, we will discuss the current limitations and potential risks of LLM agents and share directions for further improvement. Specifically, this course will include the following content:
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Fundamentals of LLMs
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Reasoning
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Planning and Tool Usage
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Infrastructure for LLM Agents
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Retrieval-Augmented Generation
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Code Generation and Data Science
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Multimodal Agents and Robotics
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Evaluation and Benchmarking of Agent Applications
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Privacy, Security, and Ethics
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Human-Computer Interaction, Personalization, and Alignment
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Multi-Agent Collaboration
Speaker:
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