Agents

Agents: A tutorial on building agents in python

LLM Agents

Agents are used enhance and extend the functionality of LLM’s.

In this tutorial, we’ll explore what LLM agents are, how they work, and how to implement them in Python.

What Are LLM Agents?

An agent is an autonomous process that may use the LLM and other tools multiple times to achieve a goal. The LLM output often controls the workflow of the agent(s).

What is the difference between Agents and LLMs or AI?

Agents are processes that may use LLM’s and other agents to achieve a task. Agents act as orchestrators or facilitators, combining various tools and logic, whereas LLMs are the underlying generative engines.

Courses: Free course on Agentic AI

Some FREE AI courses on Agents I recommend doing

Agents were important in Machine Learning development last year.

These are some courses I have done and recommend they are all free.
A good reason to do courses and look at youtube videos is you will learn current applications of AI and may get ideas for new applications.

AI Agentic Design Patterns with AutoGen

AI Agentic Design Patterns with AutoGen

Topics: Agents, Microsoft, Autogen.