Meet the people behind the posts.

Builds software for running language and speech models on your own hardware. His project documentation connects a model download to a working local program.

Sasha Rush

ML researcher at Cursor

@srush_nlp

Makes model research inspectable through annotated code and training reports, from a Transformer implementation to the training and evaluation of a coding model.

Sebastian Raschka

LLM research engineer and author

@rasbt

Explains language models through small implementations, connecting tokens and attention to the code for building, training and adapting a GPT-style model.

Thomas Wolf

Hugging Face cofounder and Chief Science Officer

@Thom_Wolf

Connects open model research and software to questions about what an AI benchmark measures, with work on model compression and scientific reasoning.

Tim Dettmers

Assistant professor at CMU; research scientist at Ai2

@Tim_Dettmers

Studies how to fit and adapt large models with less memory. His explanations separate reduced-precision inference from training a small set of additional parameters.

Tri Dao

Chief Scientist at Together AI; ML systems researcher

@tri_dao

Studies how model algorithms and GPU hardware fit together, with coauthored explanations of faster attention and alternatives to a growing attention cache.