AIDevs.pl Repository - Third Edition - Python Version

This repository contains the code and solutions for the third edition of the AIDevs program, designed to integrate Generative AI with application logic, Retrieval-Augmented Generation (RAG), and advanced automation techniques to create autonomous AI Agents.

Note: The original AIDevs content is writen using JavaScript. This repository adapts all tasks and finds sollutions in Python, making it accessible to Python developers to follow the course objectives.

Instructors

• Adam Gospodarczyk (@overment) - Co-founder of EasyCart
• Jakub Mrugalski - Creator of UNKNOW NEWS, trainer at Niebezpiecznik.pl
• Mateusz Chrobok - Head of Fraud Intelligence at Nethone

Getting Started

1. Configure the .env File (use ".env - example" File):

   • AI_DEVS_API_KEY: AIDevs API key.
   • OPEN_AI_API_KEY: OpenAI API key.
   • ... and other task specific variables.

2. Access Solutions:

   • Solutions for AIDevs tasks are organized in AIDevs3.ipynb with the latest tasks at the top, and copies are also available in individual .py files for each task.

Key Topics in the Third Edition

• AI Agents: Create autonomous systems that make decisions and access external data.
• Multimodal AI: Work with text, voice, and images to create richer applications.
• Business Applications: Apply AI for document processing, classification, and UI design.
• Retrieval-Augmented Generation (RAG): Use external data sources to enhance AI responses.

Additional Resources

• Official AIDevs Page: AIDevs.pl
• GitHub Repository: AIDevs3 Repository

This edition of AIDevs emphasizes practical skills for developing advanced AI solutions applicable to real-world scenarios. This repository is intended to help test and build AI-driven projects, fully translated to Python to broaden accessibility for Python developers.