http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
creating agentic applications with large language models and LangGraph
1 online resource (1 video file (2 hr., 58 min.)) : sound, color.
This course offers a comprehensive introduction to creating advanced AI agents capable of executing complex tasks autonomously. Learners will explore the fundamental concepts of AI agents, including reasoning, action-taking, and the ReAct pattern, and gain hands-on experience building these agents from scratch using Python and OpenAI. The course introduces LangGraph, a powerful framework for designing multi-agent architectures and covers essential design patterns and tools to enhance agent functionality. The importance of AI agents is underscored by their growing role in automating workflows and enhancing productivity across various industries. AI agents can significantly outperform traditional chatbots by making autonomous decisions and completing tasks without human intervention. This course equips participants with the skills to design, build, and evaluate sophisticated AI agents.