Welcome to the LLM Learning Hub — a curated collection of practical, production-style notebooks built to master modern AI tools like:
- ✅ Prompt Engineering
- ✅ HuggingFace Transformers
- ✅ Retrieval-Augmented Generation (RAG)
- ✅ LLM Evaluation
- ✅ Fine-tuning models
- ✅ Computer Vision (YOLOv8)
This hub is built by an independent AI engineer, focused on becoming a full-stack LLM + ML developer ready for real-world systems, inspired by best practices from top AI teams (like OpenAI, Meta, Google).
All notebooks are:
- 100% free to run (no paid API keys required)
- Google Colab ready
- Structured for GitHub & Kaggle publishing
Each folder contains one clean, focused notebook + README:
| Folder | Description |
|---|---|
prompt-engineering-cheatsheet/ |
Patterns like zero-shot, few-shot, CoT, role-based prompts |
transformers-101/ |
Basics of HuggingFace Transformers (models, tokenizers, pipelines) |
free-rag-faiss/ |
RAG pipeline with SentenceTransformers + FAISS (no API) |
rag-langchain-chroma/ |
RAG pipeline using LangChain + ChromaDB (fully local) |
fine-tune-llm-hf/ |
Fine-tune transformers on your dataset with HuggingFace Trainer |
llm-evaluation/ |
How to evaluate LLM output using metrics and scoring techniques |
pytorch-lightning-intro/ |
Train DL models using Lightning Modules (classification example) |
yolov8-vision-detection/ |
Object detection using YOLOv8 (images + webcam) |
- Build an AI engineer portfolio with real notebooks
- Learn to structure ML/RAG code like production teams
- Create public projects to showcase on GitHub, LinkedIn, and Kaggle
- Master free & open-source GenAI tooling
- Clone or fork this repo
- Open any folder in Google Colab
- Run the notebook and customize your own versions
- Push your results to your GitHub or Kaggle profiles
Muhammad Taha Nasir — Computer Science undergrad · AI Engineer in training 🚀
Building my career through open learning, consistent hands-on projects, and a strong public profile.
📫 Connect with me on LinkedIn — I share weekly updates over there.
If you find this project helpful, consider starring ⭐️ and forking it, more free LLM tools & projects coming soon!