Sebastianraschka

A 48-minute video walkthrough of token sampling, watermark detection, and removal

An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR

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

Short note on the Amazon availability of Build a Reasoning Model From Scratch and a warning about counterfeit black-and-white copies sold through Amazon India.

Short architecture note on Meta Muse Glimmer 30B, including gated local and global GQA, KV-cache efficiency, and release-time benchmark comparisons.

Short note celebrating the LLMs-from-scratch repository passing 100,000 GitHub stars and summarizing its learning materials.

Short architecture note on Kimi K3, including LatentMoE, Kimi Delta Attention, Attention Residuals, NoPE, multimodality, and inference-efficiency choices.

Short note on the architectures of six new open-weight models, including Nanbeige 4.2, Laguna S 2.1, Motif-3-Beta, Solar Open 2, Antares 1B, and BTL-3.

Short correction note for the random seed in Listing 6.5 on page 198 of Build a Reasoning Model From Scratch.

How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes