The rise of LLM agents: An overview

A Journey Through Innovations, Challenges, and Achievements

Overview:

Introduction to Agents

Large Language Models (LLMs) have emerged as a groundbreaking technology with their unparalleled text generation capabilities across various applications. We heard the term “agent” for a long time. Then, why now? Here we specifically talk about LLM agents. What is an LLM agent really means? It is a system that leverages a Large Language Model (LLM) to interpret instructions, perform tasks, and interact with its environment based on natural language inputs. Large Language Model (LLM) agents, capable of performing a broad range of actions such as interact with different environments like databases, API calls to web apps, knowledge base, other tools and physical world. For example: prepare meeting invites, Capture meeting notes etc.

Bill Gates: “Agents are bringing about the biggest revolution in computing since we went from typing commands to tapping on icons”

generated by DALL.e mostly correct

Major components of LLM agent are:

1. Reasoning and Planning: Provides logic and decision-making capabilities to allow the agent to solve complex tasks, perform multi-step reasoning, and execute plans, the model to produce multiple solutions and selecting the most…