🌱 Minimal Interpreters - abnv · Scour

Basic physics engine in about 100 lines of pure JavaScript 🌊Loop Invariant Motion

slicker.me·5d·Hacker News, r/javascript·

Understanding AI Language Models Without the Jargon 🔍Parsing Algorithms

medium.com

·1d·

We are so close to string interpolation thanks to reflection 🔗Lexical Scoping

godbolt.org·2d·r/cpp·

Embeddable Common Lisp 26.3.27 release 🪆Embedded DSLs

ecl.common-lisp.dev·6d·Hacker News·

Abstract Semantic Graph 🌳Expression Trees

en.wikipedia.org·1d·Hacker News·

Simple Top-Down Parsing in Python 📝PEG Parsing

web.archive.org·1d·r/programming·

A Hands-On guide for Learning Langchain, LCEL, LLMOps the Practical Way 🎨Domain-Specific Languages

pub.towardsai.net

·6d·

Pipevals: Evaluation pipelines for every LLM application 🔧LLVM IR

pipevals.com·1d·Lobsters, Hacker News·

Quadratic Micropass Type Inference 🔍Type Inference

articles.luminalang.com·6d·Hacker News·

Build a Language Model from Scratch 📊LR Parsing

devopslearning.medium.com·1d·

Inference Engines — A visual deep dive into the journey of a token down the transformer layers ⚡Tokenizer Optimization

femiadeniran.com·4d·r/LocalLLaMA·

Introducing liter-llm: a Rust-based alternative to LiteLLM, available for 11 languages 🪆Embedded DSLs

reddit.com·4d·r/Python·

A Faster Alternative to Jq 📋JSON Parsing

news.ycombinator.com·5d·Hacker News·

RYS Part 3: LLMs think in geometry, not language — new results across 4 models, including code and math 🌱Tiny Languages

dnhkng.github.io·6d·Hacker News, r/LocalLLaMA·

The Complete Guide to Small Language Models (SLMs): Efficient AI in Practice 📊LR Parsing

devxplore.medium.com·5d·

Lisp Machines! 🖥️Lisp Machines

irreal.org·3d·

William-Selna/Rust-LaTeX-Parser ⚙️TOML Parsers

github.com·6d·r/rust·

Programming languages for AI 📐Standard ML

blog.ploeh.dk·3d·

adamtheturtle/literalizer: Convert data structures to native language literal syntax ⚡Incremental Parsing

github.com·6d·Hacker News·

Llama.cpp with Turboquant, Heavy-Hitter Oracle (H2O), and StreamingLLM. Even more performance! 📋Tablegen

github.com·5d·r/LocalLLaMA·

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