Understanding Agentic AI: Capabilities and Challenges

This chapter explores the differences between large language models (LLMs) and agentic AI, focusing on how the latter autonomously utilizes LLMs to streamline various tasks without user intervention. It discusses the functionality of agent-based systems and highlights ethical considerations, particularly the risk of unethical behaviors like blackmail in enterprise environments. The chapter also examines the implications of synthetic data in AI development, raising questions about the ethical use of real-world information for training AI systems.