🚀 Generative AI Learning

This repository contains my daily learning notes and implementations while completing the Generative AI, LLM & RAG - Skill Up course.

The goal of this repository is to:

• Document daily learning
• Build strong understanding of Generative AI
• Implement LLM and RAG based systems
• Maintain consistency and share knowledge with the community

---

📚 Topics Covered

• Generative AI Fundamentals
• Large Language Models (LLMs)
• Transformer Architecture
• Prompt Engineering
• Embeddings
• Vector Databases
• Retrieval Augmented Generation (RAG)
• AI Agents
• LLM Applications

---

🛠 Tech Stack

• Python
• LangChain
• OpenAI / HuggingFace
• Vector Databases (FAISS, Pinecone, Chroma)
• Transformers
• Jupyter Notebook

---

📂 Repository Structure

Week-wise notes of the course
Projects related to LLM and RAG
Additional resources and research papers

---

🎯 Goal

To deeply understand Generative AI systems and build real-world LLM applications like:

• AI Chatbots
• Document Q&A systems
• RAG-based knowledge assistants
• AI agents

---

⭐ Connect With Me

If you find this repository helpful, feel free to ⭐ star it.

Let's learn Generative AI together! 🚀