Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.
This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.
Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.
This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.
Join us on today's episode of "Techsplainers" as we delve into the world of AI agents, explaining their functions, capabilities, and operational components. We explore how AI agents leverage advanced natural language processing and tool calling to surpass traditional AI limitations, autonomously performing tasks and learning from experiences. Our discussion covers three key stages of AI agent operations: goal initialization and planning, reasoning with available tools, and learning and reflection. We also contrast agentic AI chatbots with nonagentic ones, highlighting the advantages of adaptability and comprehensive responses in agentic systems. Finally, we examine reasoning paradigms, agent types, and various use cases, from enhancing customer experiences to revolutionizing healthcare and finance.
Find more information at https://www.ibm.com/think/podcasts/techsplainers
Narrated by Alice Gomstyn