Programma EDI-Stelsel NL
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Large "instruction-tuned" language models (i.e., finetuned to respond to instructions) have demonstrated a remarkable ability to generalize zero-shot to new tasks. Nevertheless, they depend...
Unix system programming in OCaml
Translation by Daniel C. Bünzli, Eric Cooper, Eliot Handelman, Priya Hattiangdi, Thad Meyer, Prashanth Mundkur, Richard Paradies, Till Varoquaux, Mark Wong-VanHaren
Andrej Karpathy on Twitter / X
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for… pic.twitter.com/uMFWTcBCsl— Andrej Karpathy (@karpathy) October 2, 2026
Stanford CS336 Language Modeling from Scratch I 2025
Coding After Coders: The End of Computer Programming as We Know It - …
archived 16 Mar 2026 15:14:04 UTC
EYG
EYG is a programming language for predictable, useful and most of all confident development.
Magicoder: Empowering Code Generation with OSS-Instruct
We introduce Magicoder, a series of fully open-source (code, weights, and data) Large Language Models (LLMs) for code that significantly closes the gap with top code models while having no more...
Intuiting Pratt parsing
You already know that a + b * c + d is calculated as a + (b * c) + d. But how do you encode that knowledge precisely enough for a machine to act on it?
Introduction | RLHF and Post-Training Book by Nathan Lambert
A first-principles introduction to RLHF, what it changes in language models, and how it became part of modern post-training.
AI Is Quietly Changing Who Gets to Build Software
What If Universities No Longer Need Edtech Companies?
RFC: Programming Languages Course Reboot, 2026
EsDictionary - The EsDeeKid Translator