{"repo":"raiyanyahya/how-to-train-your-gpt","free":true,"listed":false,"github":"https://github.com/raiyanyahya/how-to-train-your-gpt","clone":"git clone https://github.com/raiyanyahya/how-to-train-your-gpt.git","description":"Build a modern LLM from scratch. Every line commented. Explained like we are five.","language":"Jupyter Notebook","stars":2360,"topics":["attention-mechanism","deep-learning","educational","from-scratch","gpt","language-model","llama","llm","machine-learning","natural-language-processing"],"license":"MIT","category":"machine-learning","readme_excerpt":"🧠 How to Train Your GPT A guide to building a world-class language model from absolute scratch. Taught like you're five. Built like you're an engineer. I made this with the goal of learning something I didn't understand completely. Specifically the attention part. I use AI a lot to understand key concepts and verifying them. --- 📖 What Is This? This is a 12-chapter, 7,500+ line interactive textbook that teaches you how to build, train and run a modern language model from absolute scratch. The same family of architecture behind ChatGPT, Claude, LLaMA and Mistral. Alongside the chapters there are 28 standalone topic explainers covering every technique in depth. RoPE, attention, RMSNorm, SwiGLU, KV cache, AdamW, mixed precision and more. Plus two narrative walkthroughs that trace a single sentence through the entire model step by step. Each file follows the same style: child language, no jargon, a code example you can run. You won't just read about Transformers. You'll write every line yourself : tokenizer, embeddings, attention, training loop, inference engine. Every single line annotated to explain what it does and why it's there. --- 🤔 Why This Exists Most ML tutorials fall into one of two traps: ❌ Too Shallow ❌ Too Academic ✅ This Guide --- --- --- model = GPT().fit(data) 40-page papers, dense notation 5-year-old analogies → full working code You learn to call APIs Assumes PhD in ML Zero ML experience required No understanding of internals No worked examples Every line an","default_branch":null,"files":null,"tree":[],"storefront":"/r/raiyanyahya","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/raiyanyahya/how-to-train-your-gpt/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}