Building Simple LLM Agents
Create basic autonomous agents that can reason, plan, and execute multi-step tasks using LLMs and external tools.
What are LLM Agents?
Welcome! In this lesson, we'll dive into LLM agents. An agent is an LLM that can make decisions, take actions, and achieve goals by interacting with its environment.
Think of it as an LLM with a brain and hands. The "brain" is the LLM for reasoning, and the "hands" are tools it can use to perform tasks.
Agent's Core Components
Every LLM agent has key parts working together to enable its autonomous behavior:
- LLM (The Brain): The core language model for reasoning, understanding, and decision-making.
- Memory (State): Where the agent stores past interactions, observations, or thoughts to maintain context.
- Tools (Actions): External functions or APIs the agent can call to perform specific tasks.
- Planner (Reasoning): The LLM's ability to break down a complex goal into smaller, manageable steps.
All lessons in this course
- Retrieval Augmented Generation (RAG)
- Function Calling & Tool Use
- Building Simple LLM Agents
- Streaming LLM Responses to Users