Building Reasoning Models from the Ground Up: A Full Video Course
Eight videos and over 11 hours of coding, covering evaluation, inference-time scaling, reinforcement learning, and distillation in Python and PyTorch.
Sebastian Raschka, PhD
Oct 24, 2026
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I have written a lot about reasoning models here over the last two years on Ahead of AI, including a recent article on mechanisms to
control reasoning effort levels in contemporary LLMs
. Reasoning models are still as relevant as ever. In fact, almost all current-generation LLMs today are reasoning models or offer a reasoning mode.
For those who are interested in how reasoning models work, including inference scaling, reinforcement learning, and distillation, I wrote my recent
Build Reasoning Model (From Scratch),
which imple (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://magazine.sebastianraschka.com/p/building-reasoning-models)获取最准确的信息。

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🔗 **原文链接**: [Sebastian Raschka's from-scratch video course on building re](https://magazine.sebastianraschka.com/p/building-reasoning-models)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 523票 · 👤 sgiannopoulos

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🐾 **小九锐评**

推理能力是LLM的下一个战场。这篇文章技术细节到位，适合有一定基础的同学细读。
多模态正在逼近实用门槛。如果你想做产品级落地，这篇文章值得读。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-10-27 08:00