Photo by Rock’n Roll Monkey on Unsplash In recent years, the advent of large language models (LLMs) has revolutionized the field of artificial intelligence, making it possible for machines to understand and generate human-like text with unprecedented accuracy. These advancements have paved the way for the creation of autonomous agents powered by LLMs, capable of performing complex tasks through natural language understanding and interaction. This article delves into the process of building such intelligent agents from scratch, without relying on high-level frameworks, to unlock their full potential. Why LLM Agents? The demand for LLM agents arises from the limitations of traditional rule-based systems and the increasing complexity of tasks in modern applications. While traditional systems can handle specific and well-defined tasks, they often fall short in dealing with the […]
Original web page at pub.towardsai.net
