LatestMachine LearningIntroducing ReACT LLM Agents: A Secret to More Capable AI 0 like December 20, 2024Share this postLast Updated on December 20, 2024 by Editorial TeamAuthor(s): Krishan Walia Originally published on Towards AI. An introduction to ReACT LLM Agents and why they have the potential to make AI more capable in an intuitive and beginner-friendly way.This member-only story is on us. Upgrade to access all of Medium.Not a member?Feel free to access the full article here.Imagine, you are travelling back home with your friends from a location. Seeing that some friends have their homes along a common way, you all decided to carpool to the desired locations.You have added all the destinations as stops in the car booking application. The car booking application has provided you with the overall fare of the trip, and not everyones share. You and all your friends decide to divide the fare according to the distance from their home to the location.In order to divide the fare justifiably, you have to reason on getting the individual distance of the location from their respective destinations, and then act to calculate the fair fare distribution.Thats exactly how a ReAct agent works!Photo by Clint Patterson on UnsplashReasoning is second nature for humans, and thats probably the most crucial thing that enhances our decision-making capabilities. We always try to reason facts before coming to any conclusion or acting upon something, and thats what comprises the principle of a ReACT agent.A ReACT agent is a special type of Artificial Intelligence Agent that utilises both Reasoning Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post