TinyML and Efficient Deep Learning Computing(efficientml.ai)

219 points by samuel246 3 years ago | 31 comments

Diffusion models from scratch, from a new theoretical perspective(chenyang.co)

342 points by jxmorris12 2 years ago | 36 comments

A tutorial blog post by Chenyang Yuan explaining diffusion models from scratch through a new theoretical perspective.

How to build a diffusion language model(kuleshov-group.github.io)

162 points by volodia 1 month ago | 19 comments

Strengths and limitations of diffusion language models(seangoedecke.com)

46 points by rbanffy 1 year ago | 3 comments

Diffusion models explained simply(seangoedecke.com)

123 points by onnnon 1 year ago | 25 comments

Continuous Diffusion Language Models (CDLM's)(sander.ai)

115 points by peter_d_sherman 1 month ago | 37 comments

CS336: Language Modeling from Scratch(cs336.stanford.edu)

529 points by kristianpaul 4 months ago | 49 comments

Course homepage for Stanford's CS336: Language Modeling from Scratch (Spring 2026), listing instructors Tatsunori Hashimoto and Percy Liang and course staff.

MAI-Code-1-Flash(microsoft.ai)

519 points by EvanZhouDev 4 months ago | 243 comments

Microsoft AI's announcement page introducing MAI-Code-1-Flash, a coding model for quick fixes and complex engineering tasks, available to try in VS Code.

LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)

336 points by CharlesW 2 years ago | 121 comments

MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.

Turning GLM-5.3-Flash into a Jev-like decision model(privatemode.ai)

116 points by flxflx 1 month ago | 50 comments

Privatemode AI blog post describing how to prompt GLM-5.3-Flash so its first output token gives a decision in a single forward pass, benchmarked against Jev and Laya.

MLow: Meta's low bitrate audio codec(engineering.fb.com)

551 points by mikece 2 years ago | 188 comments

Engineering at Meta blog post introducing MLow, Meta's low bitrate audio codec for real-time calling.

Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory(arxiv.org)

412 points by Anon84 2 years ago | 132 comments

arXiv listing for a book by Jentzen, Kuckuck, and von Wurstemberger giving a mathematically rigorous introduction to deep learning methods, implementations, and theory.