AI Engineering

This repository documents my journey in AI Engineering, showcasing projects, learning progress, and experiments with modern AI technologies.

Goals

• Become a full-stack AI engineer capable of designing, building, and deploying AI-powered systems.

Tools and Concepts

• RAG (Retrieval-Augmented Generation):
  • Embeddings
  • Retrieval
  • Vector Databases
• Agents:
  • Chatbots
  • Tool calling
  • Multi-modal agents
• LLMs and Training:
  • Working with Large Language Models
  • Fine-tuning and prompt engineering
• AI Engineering Stack:
  • LangChain
  • PyTorch
  • Transformers
  • Other relevant AI tools and frameworks