llm-from-scratch-guide
Build a ChatGPT-like LLM from scratch using PyTorch step by step
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill llm-from-scratch-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLM From Scratch Guide ## Overview LLMs-from-scratch is a comprehensive educational repository with over 87,000 stars on GitHub that teaches you how to build a ChatGPT-like large language model from the ground up using PyTorch. Created by Sebastian Raschka, a machine learning researcher and author, the project provides a complete pipeline covering data preparation, tokenization, attention mechan
What does the llm-from-scratch-guide skill do?
Build a ChatGPT-like LLM from scratch using PyTorch step by step
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill llm-from-scratch-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.