Artificial intelligence agents are components in an AI system that can perform tasks autonomously, making decisions and taking actions on their own. In this talk, we’ll explore the concept of AI agents, their benefits and how they can revolutionize AI development. We’ll discuss the differences between agentic and non-agentic workflows, and how agents can improve the performance of existing models through reflection, tool use, planning and multiagent collaboration. We’ll examine the types of AI agents, such as vision agents, LLM agents, math solver agents and code generation agents, and how they can be used in various AI-based systems. We’ll also discuss how agents are created, trained, tested and integrated into AI systems. By the end of this talk, attendees will have a working understanding of AI agents, their benefits and how they can be used in AI-based application development.