Taming LLMs – A Practical Guide to LLM Pitfalls with Open Source Software(souzatharsis.com)

158 points by sebg 1 year ago | 26 comments

MLX: NumPy like framework for Apple Silicon by Apple(ml-explore.github.io)

131 points by dagmx 2 years ago | 12 comments

R interface to Apple's MLX library(hughjonesd.github.io)

12 points by dash2 11 months ago | 0 comments

How Dactyl Works(dactyl.dev)

60 points by anorak27 1 month ago | 12 comments

Neutralinojs – Build lightweight cross-platform desktop apps with JavaScript(neutralino.js.org)

106 points by thekode 3 years ago | 69 comments

Literate Programming in Quarto(ivelasq.quarto.pub)

10 points by akkad33 1 year ago | 2 comments

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.

The Linux Kernel Module Programming Guide(sysprog21.github.io)

340 points by asicsp 3 years ago | 26 comments

Online edition of The Linux Kernel Module Programming Guide by Salzman, Burian, Pomerantz, Mottram and Huang, with GitHub source and PDF download.

Some thoughts on LLMs and software development(martinfowler.com)

378 points by floverfelt 1 year ago | 347 comments

Martin Fowler's blog post sharing scattered thoughts on the state of LLMs and AI and their effect on software development.

The Linux Kernel Module Programming Guide(sysprog21.github.io)

350 points by wrycoder 2 years ago | 35 comments

Online edition of The Linux Kernel Module Programming Guide, a free book on writing Linux kernel modules, with GitHub and PDF links.

Train Your Own LLM from Scratch(github.com)

376 points by kristianpaul 5 months ago | 43 comments

GitHub repository by angelos-p providing code and docs for training your own large language model from scratch.

LLM Visualization(bbycroft.net)

910 points by jonbaer 2 years ago | 1 comments

An interactive 3D walkthrough visualizing how a GPT-style large language model works, step by step, using nano-gpt, GPT-2, and GPT-3 examples.