Ahead of AI
https://magazine.sebastianraschka.com
Ahead of AI focuses on machine learning and AI research and is read by more than 200,000 researchers and practitioners who want to stay ahead in a rapidly evolving field. Click to read Ahead of AI, by Sebastian Raschka, PhD, a Substack publication with hundreds of thousands of subscribers.
フィード
Building Reasoning Models from the Ground Up: A Full Video Course
Ahead of AI
Over 11 hours of coding videos on evaluation, inference-time scaling, reinforcement learning, and distillation, with Python and PyTorch.
19日前
Language Models for Text Classification: From Bag-of-Words to Jev
Ahead of AI
A Visual Guide to RNNs, CNNs, Transformers, and Calibration, with Hands-On Experiments on Accuracy and Efficiency
1ヶ月前
GPT-6 Astra, Looped Transformers, and Hidden Reasoning
Ahead of AI
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks
2ヶ月前
How Claude Watermarks AI-Generated Text
Ahead of AI
A 48-minute video walkthrough of token sampling, watermark detection, and removal
3ヶ月前
Building an AI Text Detector From Scratch
Ahead of AI
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
3ヶ月前
Controlling Reasoning Effort in LLMs
Ahead of AI
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
4ヶ月前
Using Local Coding Agents
Ahead of AI
Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex Subscriptions
5ヶ月前
LLM Research Papers: The 2026 List (January to May)
Ahead of AI
A curated roundup of notable LLM research papers that came out this year
5ヶ月前
Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention
Ahead of AI
From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs
6ヶ月前
My Workflow for Understanding LLM Architectures
Ahead of AI
A learning-oriented workflow for understanding new open-weight model releases
7ヶ月前
Components of A Coding Agent
Ahead of AI
How coding agents use tools, memory, and repo context to make LLMs work better in practice
7ヶ月前
A Visual Guide to Attention Variants in Modern LLMs
Ahead of AI
From MHA and GQA to MLA, sparse attention, and hybrid architectures
8ヶ月前
A Dream of Spring for Open-Weight LLMs: 10 Architectures from Jan-Feb 2026
Ahead of AI
A Round Up And Comparison of 10 Open-Weight LLM Releases in Spring 2026
9ヶ月前
Categories of Inference-Time Scaling for Improved LLM Reasoning
Ahead of AI
And an Overview of Recent Inference-Scaling Papers
10ヶ月前
The State Of LLMs 2025: Progress, Problems, and Predictions
Ahead of AI
A 2025 review of large language models, from DeepSeek R1 and RLVR to inference-time scaling, benchmarks, architectures, and predictions for 2026.
10ヶ月前
LLM Research Papers: The 2025 List (July to December)
Ahead of AI
In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers who make this Substack possible.
10ヶ月前
From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
Ahead of AI
Understanding How DeepSeek's Flagship Open-Weight Models Evolved
1年前
Beyond Standard LLMs
Ahead of AI
Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers
1年前
Understanding the 4 Main Approaches to LLM Evaluation (From Scratch)
Ahead of AI
Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code Examples
1年前
Understanding and Implementing Qwen3 From Scratch
Ahead of AI
A Detailed Look at One of the Leading Open-Source LLMs
1年前