Local Open-Weight LLMs in Coding Harnesses
Short note on trying local open-weight LLMs across Qwen-Code, Codex, and Claude Code harnesses.
Sebastian Raschka1 min read
machine learning
372 stories
GLM-5.2 and IndexShare for Long-Context Sparse Attention
How GLM-5.2 uses IndexShare to reuse sparse-attention token selections across layers and reduce long-context indexer computation.
Sebastian Raschka4 min read
VibeThinker-3B and the Strength of Post-Training
A closer look at VibeThinker-3B, a Qwen2.5-Coder-based model whose reported reasoning gains come from a detailed post-training pipeline.
Sebastian Raschka5 min readscikit-learn release 1.9: better numerics, new core functionality
Scikit-learn 1.9 release is out, and it comes with solid improvements to many existing estimators, making them faster, more stable, handling missing values, adding GPU support… The release also enhances the estimator displays in notebooks, and introduces a callback mechanism that opens the door to…
Scikit-Learn Documentation Blog3 min read
North Mini Code and Agentic Coding Benchmarks
Architecture and benchmark notes for North Mini Code, Cohere's 30B-A3B MoE trained for repository, terminal, and code-generation tasks.
Sebastian Raschka6 min readLLMs Count Digits, Not Store a Number Line
Constraint tests on how language models represent numerical magnitude.
oioi Blog5 min read
AI Paper Review: Training Language Models to Follow Instructions with Human Feedback (InstructGPT)
GPT-3 was a major breakthrough in natural language processing. With 175 billion parameters, it demonstrated remarkable few-shot learning abilities and showed that scaling large language models could u
freeCodeCamp — ChatGPT38 min readAI Bias in Hiring Tools: Real Disasters and How Teams Fixed Them
Tame Your AlgoContinue reading on Becoming Human: Artificial Intelligence Magazine »
Becoming Human (AI)1 min readI BUILT A FULLY AUTOMATIC MANSPLAINER
All information about GTC and the DGX Spark Raffle is here: https://www.ykilcher.com/gtcLinks:Homepage: https://ykilcher.comMerch: https://ykilcher.com/merch...
Yannic Kilcher BlogUpdate on array API adoption in scikit-learn
Author: Lucy Liu Note: this blog post is a cross-post of a Quansight Labs blog post.
Scikit-Learn Documentation Blog10 min read
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ten years ago this week, I wrote a post called "Deep Learning is Easy - Learn Something Harder". The post blew up, top spot on HackerNews. Needless to say, it didn't age well.
inFERENCe10 min readEnhancing user experience through interactive inspection
User experience (UX) has always been an important focus for scikit-learn. As we know, UX encompasses many aspects, but here we will focus specifically on how easy it is for the user to understand scikit-learn models during development, especially while using tools like jupyter notebooks.
Scikit-Learn Documentation Blog2 min readTraditional Holiday Live Stream
https://ykilcher.com/discordLinks:TabNine Code Completion (Referral): http://bit.ly/tabnine-yannickYouTube: https://www.youtube.com/c/yannickilcherTwitter: h...
Yannic Kilcher BlogTiDAR: Think in Diffusion, Talk in Autoregression (Paper Analysis)
Paper: https://arxiv.org/abs/2511.08923Abstract:Diffusion language models hold the promise of fast parallel generation, while autoregressive (AR) models typi...
Yannic Kilcher BlogTitans: Learning to Memorize at Test Time (Paper Analysis)
Paper: https://arxiv.org/abs/2501.00663Abstract:Over more than a decade there has been an extensive research effort on how to effectively utilize recurrent m...
Yannic Kilcher BlogTokenizers Are All We Need
A grounded walkthrough of tokenization and its impact on model behavior.
oioi Blog8 min read[Paper Analysis] The Free Transformer (and some Variational Autoencoder stuff)
https://arxiv.org/abs/2510.17558Abstract:We propose an extension of the decoder Transformer that conditions its generative process on random latent variables...
Yannic Kilcher Blog
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