Sebastian Raschka: LLM Research Engineer Website and Technical Notes

LinkSebastian RaschkaResource

The personal website of AI researcher Sebastian Raschka provides code-driven articles, deep technical notes, and implementation guides on large language models and modern AI systems.

Key points

  1. Sebastian Raschka bridges academic research and industry, with past roles including senior engineer at Lightning AI and statistics professor at UW-Madison.
  2. He authored 'Build a Large Language Model (From Scratch)' and focuses on practical, implementation-first AI engineering.
  3. Recent articles examine text watermarking in Claude, building end-to-end AI text detectors, and controlling reasoning effort in LLMs.
  4. Practical guides explore running open-weight models in local coding harnesses as alternatives to proprietary subscription services like Claude Code or Codex.
  5. His quick notes deconstruct recent architectures such as GLM-5.3-Flash, looped transformers, and OpenAI Astra.

Why it matters

The site provides engineering teams and researchers with clear, code-level explanations of frontier LLM topics, helping teams evaluate open-weight models and technical architectures.

Analysis

Raschka delivers high-value technical breakdowns that connect theoretical research papers with runnable code. His ongoing focus on reasoning models, local agents, and model internals serves as a reliable educational hub for practitioners tracking rapid LLM advancements.

Mentioned links

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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