As an African proverb states:
Alone, we go faster. Together, we go further.
This also relates to the idea that no one can be an expert in every field. Team work and effective delegation of tasks becomes crucial to achieve great things.
Similar principles applies to Large Language Models (LLMs). Instead of prompting a single LLM to handle a complex task, we can combine multiple LLMs or AI Agents , each one specializing in a specific area.
This strategy can lead to a more robust system with higher-quality results.
In this article you will learn:
- What
AI Agentsare - Why it is worth considering them to solving real-world use cases
- How to create a complete
AI Agentssystem from scratch
Before diving into any coding, let’s have a clear understanding of the main components of the system being built in this article.