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Reasoning Models From Scratch: Code Setup

Sebastian Raschka published a video and accompanying note explaining how to set up the Python and PyTorch environment for building a reasoning model from scratch, using the `uv` package manager. The video clarifies the relationship between conventional LLMs, reasoning models, and agents, and discusses the philosophy of 'from scratch' approaches. It is part of a series on building reasoning models from scratch.

read1 min views1 publishedAug 30, 2026
Reasoning Models From Scratch: Code Setup
Image: Sebastianraschka (auto-discovered)

A little video that

  • explains the relationship between conventional LLMs and reasoning models (and agents),
  • philosophizes about “from scratch” approaches,
  • and explains how to install the Python and PyTorch requirements with uv

.

The video is here: [Build A Reasoning Model From Scratch #1: Motivation & Code Setup](https://www.youtube.com/watch?v=Kh9mqTzjuEQ).

Source: website version of my [Substack note](https://substack.com/@rasbt/note/c-325854620).

Two Live Book Club Q&As on September 3 Two free live book club Q&A sessions on September 3 about Build a Reasoning Model From Scratch and related reader questions.

GLM-5.3-Flash Architecture Notes Architecture note on GLM-5.3-Flash, formerly Ox Alpha, covering its KDA and MLA/DSA hybrid attention, sparse MoE backbone, and four-stream mHC residual pat

How Claude's Text Watermarking Works Short illustration of how Claude's text watermarking is supposed to work based on Anthropic's released materials.

source & further reading
sebastianraschka.com — original article GLM-5.3-Flash Architecture Notes How Claude Watermarks AI-Generated Text Building an AI Text Detector From Scratch
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