Experiments, notes, and projects from my exploration of Large Language Models — prompt engineering, fine-tuning, and beyond.
Welcome to my LLM-Learning-Journal, a personal space where I document everything I learn and build related to Large Language Models (LLMs). This repository includes hands-on experiments, code snippets, research notes, and project prototypes
- Code and notebooks for model tests and trials
- Written explanations, summaries, and insights
- Projects and demos involving LLMs
You can browse the files to find detailed documentation and runnable code. Feel free to fork, clone, or contribute!
If you have questions, suggestions, or want to collaborate, reach out to me via LinkedIn.
(to be expanded as I progress)
- Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
- Buildings LLMs from scratch by Visuara
- tiktoken Documentation
- Attention Is All You Need
Happy learning! 🚀