Multi-Agent Prompting Systems
Design and orchestrate systems where multiple LLM agents collaborate on complex tasks through structured prompts.
What are Agent Systems?
Imagine a team of smart assistants, each with a special skill, working together to solve a big problem. That's the core idea behind Multi-Agent Prompting Systems!
Instead of one large language model (LLM) trying to do everything, we use several LLMs, each given a specific role and set of instructions.
Why Use Agent Teams?
Using multiple agents offers powerful benefits:
- Tackles Complexity: Breaks down huge tasks into smaller, manageable parts.
- Specialization: Each agent focuses on what it does best.
- Improved Accuracy: Agents can cross-check each other's work or refine outputs.
- Robustness: If one agent struggles, others can compensate.
All lessons in this course
- Function Calling and API Integration
- Multi-Agent Prompting Systems
- Custom Tools and Plugins for LLMs