Sebastian Raschka
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
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Where they publish
Ahead of AINewsletter His deep-dive newsletter on LLM research and architecture.
Open magazine.sebastianraschka.com
Recent
- How Claude Watermarks AI-Generated Text 22 Aug 2026
- Building an AI Text Detector From Scratch 15 Aug 2026
- Controlling Reasoning Effort in LLMs 18 Jul 2026
Show 17 more
- Using Local Coding Agents 27 Jun 2026
- LLM Research Papers: The 2026 List (January to May) 6 Jun 2026
- Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention 16 May 2026
- My Workflow for Understanding LLM Architectures 18 Apr 2026
- Components of A Coding Agent 4 Apr 2026
- A Visual Guide to Attention Variants in Modern LLMs 22 Mar 2026
- A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026 25 Feb 2026
- Categories of Inference-Time Scaling for Improved LLM Reasoning 24 Jan 2026
- The State Of LLMs 2025: Progress, Problems, and Predictions 30 Dec 2025
- LLM Research Papers: The 2025 List (July to December) 30 Dec 2025
- From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates 3 Dec 2025
- Beyond Standard LLMs 4 Nov 2025
- Understanding the 4 Main Approaches to LLM Evaluation (From Scratch) 5 Oct 2025
- Understanding and Implementing Qwen3 From Scratch 6 Sept 2025
- From GPT-2 to gpt-oss: Analyzing the Architectural Advances 9 Aug 2025
- The Big LLM Architecture Comparison 19 Jul 2025
- LLM Research Papers: The 2025 List (January to June) 1 Jul 2025
Link verified 4 Sept 2026. Recent items update automatically from the channel.
github.com/rasbtGitHub Code for his books, including LLMs-from-scratch.
Recent
- mlxtend — A library of extension and helper modules for Python's data analysis and machine learning libraries. 2 Sept 2026
- reasoning-from-scratch — Implement a reasoning LLM in PyTorch from scratch, step by step 1 Sept 2026
- LLMs-from-scratch — Implement a ChatGPT-like LLM in PyTorch from scratch, step by step 1 Sept 2026
Show 16 more
- ai-detector-from-scratch — End-to-end project training and building AI models / LLMs to detect AI-written text 1 Sept 2026
- llm-architecture-gallery — LLM Architecture Gallery source data 30 Aug 2026
- macos-pdf-splitter — Native macOS app for splitting and converting PDF figures 21 Aug 2026
- python-machine-learning-book — The "Python Machine Learning (1st edition)" book code repository and info resource 18 Jul 2026
- local-coding-agent-evals 26 Jun 2026
- machine-learning-book — Code Repository for Machine Learning with PyTorch and Scikit-Learn 15 Jun 2026
- workflow-understanding-LLM-architectures — Materials for the "My Workflow for Understanding LLM Architectures" tutorial 10 Apr 2026
- mini-coding-agent — Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents. 7 Apr 2026
- watermark — An IPython magic extension for printing date and time stamps, version numbers, and hardware information 21 Dec 2025
- math_full_minus_math500 — The MATH training dataset without MATH-500 test portion 20 Dec 2025
- MachineLearning-QandAI-book — Machine Learning Q and AI book 17 Dec 2025
- bugreport — A repository to store code examples to reproduce issues for bug reports. 14 Sept 2025
- rasbt 21 Jan 2025
- RAGs — RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems 20 Jan 2025
- LLM-workshop-2024 — A 4-hour coding workshop to understand how LLMs are implemented and used 13 Jan 2025
- stat451-machine-learning-fs20 — STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020) 28 Sept 2024
Link verified 4 Sept 2026. Recent items update automatically from the channel.
Recommends rcmnd
What they recommendrcmnd 7 things — each backed by an exact quote.
Compiled by rcmnd.app, not by them: the quotes are theirs, and each links to the post it was copied from.
Recent
MLX Recommends
I highly recommend using *-mlx versions of models working on Macs (if available).
magazine.sebastianraschka.com 2026-06-27
North Mini Code Recommends
Alternatively, if you don't want to use Qwen3.6, Cohere's North Mini Code is probably the most interesting, capable alternative at this size class right now.
magazine.sebastianraschka.com 2026-06-27
Qwen-Code Uses
Here, I am primarily going to use Qwen3.6 with the Qwen-Coder coding client.
magazine.sebastianraschka.com 2026-06-27
Show 4 more
Qwen3.6 Uses
Here, I am primarily going to use Qwen3.6 with the Qwen-Coder coding client.
magazine.sebastianraschka.com 2026-06-27
Ollama Liked
I am not affiliated with any of the tools mentioned in this article, but one nice thing about Ollama is that they also optionally support open-weight models hosted in the cloud
magazine.sebastianraschka.com 2026-06-27
Claude Code Uses
I have to admit that I still primarily alternate between Codex and Claude Code as my daily drivers, for now
magazine.sebastianraschka.com 2026-06-27
Codex Uses
I have to admit that I still primarily alternate between Codex and Claude Code as my daily drivers, for now
magazine.sebastianraschka.com 2026-06-27
Latest
Full feed →Everything, newest firstFeed Repos and posts from the cards above, in one stream.
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- mlxtend — A library of extension and helper modules for Python's data analysis and machine learning libraries. 2 Sept
- reasoning-from-scratch — Implement a reasoning LLM in PyTorch from scratch, step by step 1 Sept
- LLMs-from-scratch — Implement a ChatGPT-like LLM in PyTorch from scratch, step by step 1 Sept
- ai-detector-from-scratch — End-to-end project training and building AI models / LLMs to detect AI-written text 1 Sept
- llm-architecture-gallery — LLM Architecture Gallery source data 30 Aug
- How Claude Watermarks AI-Generated Text 22 Aug
Show 24 more
- macos-pdf-splitter — Native macOS app for splitting and converting PDF figures 21 Aug
- Building an AI Text Detector From Scratch 15 Aug
- python-machine-learning-book — The "Python Machine Learning (1st edition)" book code repository and info resource 18 Jul
- Controlling Reasoning Effort in LLMs 18 Jul
- Using Local Coding Agents 27 Jun
- local-coding-agent-evals 26 Jun
- machine-learning-book — Code Repository for Machine Learning with PyTorch and Scikit-Learn 15 Jun
- LLM Research Papers: The 2026 List (January to May) 6 Jun
- Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention 16 May
- My Workflow for Understanding LLM Architectures 18 Apr
- workflow-understanding-LLM-architectures — Materials for the "My Workflow for Understanding LLM Architectures" tutorial 10 Apr
- mini-coding-agent — Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents. 7 Apr
- Components of A Coding Agent 4 Apr
- A Visual Guide to Attention Variants in Modern LLMs 22 Mar
- A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026 25 Feb
- Categories of Inference-Time Scaling for Improved LLM Reasoning 24 Jan
- The State Of LLMs 2025: Progress, Problems, and Predictions 30 Dec 2025
- LLM Research Papers: The 2025 List (July to December) 30 Dec 2025
- watermark — An IPython magic extension for printing date and time stamps, version numbers, and hardware information 21 Dec 2025
- math_full_minus_math500 — The MATH training dataset without MATH-500 test portion 20 Dec 2025
- MachineLearning-QandAI-book — Machine Learning Q and AI book 17 Dec 2025
- From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates 3 Dec 2025
- Beyond Standard LLMs 4 Nov 2025
- bugreport — A repository to store code examples to reproduce issues for bug reports. 14 Sept 2025