Welcome to this episode where we delve into the groundbreaking concept of agentic knowledgeable self-awareness for large language models, a paradigm shift from traditional "flood irrigation" approaches in agent planning. Discover how the innovative KnowSelf method enables AI agents to autonomously assess their abilities and selectively utilize knowledge, mimicking human-like situational awareness for optimal decision-making with minimal costs. We'll explore the challenges of current agent learning methods and the potential of this new approach, supported by experimental evidence showcasing its superior performance.