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AI Agents — From Concepts to Practical Implementation in Python
This will change the way you think about AI and its capabilities
Motivation
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 Agents
are - Why it is worth considering them to solving real-world use cases
- How to create a complete
AI Agents
system from scratch
General Workflow of the system
Before diving into any coding, let’s have a clear understanding of the main components of the system being built in this article.
- The workflow has overall…