These excerpts come from "Building Agentic AI Systems", a book dedicated to the development of intelligent and autonomous agents, particularly those powered by Large Language Models (LLMs). The sources discuss the foundational principles of generative AI, explaining what it is and different model types like VAEs and GANs, alongside the concepts of agency and autonomy in AI. Key to building these systems is understanding intelligent agents' essential components like knowledge representation and reasoning, as well as advanced techniques such as reflection and introspection for continuous improvement. The text highlights the importance of tools and planning algorithms that enable agents to interact with external systems and achieve goals, details a Coordinator, Worker, and Delegator (CWD) model for multi-agent collaboration, and covers crucial aspects of system design including prompts, state spaces, memory, and workflow patterns. Finally, the sources touch on the risks, safety, and responsible deployment of agentic systems, exploring their diverse real-world applications and the future outlook of this rapidly evolving field.

sources: Building Agentic AI Systems pa