Add GPT Tokenizer and RAG system tutorials to AI Model section

Added two high-quality tutorials:
- Let's build the GPT Tokenizer by Andrej Karpathy (minbpe)
- Build a RAG System from Scratch by LlamaIndex

Both are well-maintained, educational resources for learning AI/ML fundamentals.
This commit is contained in:
fauzan171 2026-05-14 00:28:49 +07:00
parent 294aef8fde
commit 68c190918c

View file

@ -62,6 +62,8 @@ It's a great way to learn.
* [**Python**: _A Large Language Model (LLM)_](https://github.com/rasbt/LLMs-from-scratch)
* [**Python**: _Diffusion Models for Image Generation_](https://huggingface.co/learn/diffusion-course/en/unit1/3)
* [**Python**: _RAG for Document Search_](https://github.com/langchain-ai/rag-from-scratch)
* [**Python**: _Let's build the GPT Tokenizer_](https://github.com/karpathy/minbpe)
* [**Python**: _Build a Retrieval-Augmented Generation (RAG) System from Scratch_](https://docs.llamaindex.ai/en/stable/understanding/rag/)
#### Build your own `Augmented Reality`