Autonomous agents powered by Large Language Models (LLMs) offer the potential to grant LLMs control over many kinds of tasks. However, ensuring reliability in these systems has been a significant hurdle. LangGraph is a low-level library designed to construct dependable agents.
This session from BUILD 2024 explores key features of LangGraph that enhance reliability, including robust memory management, seamless human-in-the-loop integration, and advanced control mechanisms. We delve into how these components work together to create more stable and trustworthy LLM-driven autonomous agents.
To learn more, enroll in the Introduction to Generative AI with Snowflake course on Coursera:
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