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Explore a comprehensive 35-minute technical talk from MLOps.community where Samuel Partee, CTO and Co-Founder of Arcade AI, delves deep into advanced AI Agent techniques and tool calling implementation in production environments. Learn practical approaches to enabling AI agents to perform actions, understand the distinctions between tool calling and retrieval, and discover effective methods for testing and evaluating LLM tools. Drawing from his experience building Arcade AI and his background as a Principal Engineer at Redis, where he led vector database ecosystem development, Partee shares valuable insights on successful agent tool calling strategies. Benefit from the expertise of an active contributor to open-source projects like Langchain, DeterminedAI, and Chapel, who has also pioneered the SmartSim AI framework and conducted research in applying AI to climate models.
