Intro to Large Language Models [Video](youtube.com)

223 points by georgehill 2 years ago | 23 comments

The History of Laravel's dd() [video](youtube.com)

6 points by thunderbong 3 years ago | 2 comments

HNSW as abstract data structure: video intro to Redis vector sets [video](youtube.com)

41 points by antirez 1 year ago | 0 comments

How we know languages like proto-Indo-European existed [video](youtube.com)

123 points by ipnon 3 years ago | 65 comments

Effective Neovim: An Instant IDE [video](youtube.com)

63 points by tu7001 3 years ago | 37 comments

Dave Cutler on Windows [video](youtube.com)

312 points by hexmiles 3 years ago | 185 comments

AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)

343 points by saikatsg 7 months ago | 242 comments

Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.

Grok(github.com)

1034 points by pierre 2 years ago | 375 comments

GitHub repository from xAI containing the open release of the Grok language model code and checkpoint loading scripts under Apache-2.0.

Getting AI to work in complex codebases(github.com)

442 points by dhorthy 1 year ago | 368 comments

A GitHub markdown document from HumanLayer describing advanced context engineering techniques for getting AI coding agents to work in complex codebases.

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.

It's hard to write code for computers, but it's harder to write code for humans(erikbern.com)

429 points by imartin2k 2 years ago | 131 comments

Erik Bernhardsson's blog post arguing that writing code for humans, such as libraries, APIs and tools other developers use, is harder than writing code for computers.

How to Think About GPUs(jax-ml.github.io)

361 points by alphabetting 1 year ago | 107 comments

Part 12 of Google's "How To Scale Your Model" book, a deep dive into how NVIDIA GPUs work and are networked, and what that means for LLMs compared to TPUs.