Hello, I'm Sebastian Raschka, PhD
I am an LLM Research Engineer with over a decade of experience in artificial intelligence. My work bridges academia and industry, including roles as senior engineer at Lightning AI and as a statistics professor at the University of Wisconsin-Madison.
I am also the author of Build a Large Language Model (From Scratch).
My expertise lies in LLM research and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations. (For my most up-to-date CV details, please visit my LinkedIn profile.)
Recent Articles and Notes
Sep 9, 2026
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks
Aug 22, 2026
A 48-minute video walkthrough of token sampling, watermark detection, and removal
Aug 15, 2026
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
Jul 18, 2026
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
Why I'd invest in post-training existing open-weight LLMs, with Fireworks' Ember-1 as an example of more token-efficient reasoning.
Notes on MiMo-V2.6 Pro's GQA and sliding-window attention, agent training tasks, reward signals, and large RL batches.
A short note on Jev's generalization, possible encoder-style architecture and training, and Choice and Noul API examples.
My take on AI model pacing as a framework for release checks and the competitive pressure around model releases.
A 90-minute LinkedIn Learning course on how reasoning models relate to conventional LLMs and how they are developed.