REMA: A Unified Reasoning Manifold Framework for Interpreting Large Language Model
arxiv.org·18h
📋Document Grammar
It is surprising that Earley can efficiently parse C, ambiguities and all
wareya.wordpress.com·3d·
Discuss: Lobsters, Hacker News
🔗Monadic Parsing
Using an LLM on the Advent of Code
funcall.blogspot.com·4h·
Discuss: www.blogger.com
⚔️Lean Tactics
The Lowest Level PL
pramatias.github.io·1d·
Discuss: Hacker News, r/rust
🦀Rust Macros
Overkill JSON parser optimization: C/Assembly
raphaelouthier.github.io·2d·
Discuss: Hacker News
🔧Binary Parsers
Why and When to Use Sentence Embeddings Over Word Embeddings
machinelearningmastery.com·3d
📝Text Embeddings
Neural Emotion Matrix for NPCs Built in Rust
github.com·8h·
Discuss: Hacker News
🔢Denotational Semantics
Sguaba: Type-safe spatial math in Rust
youtube.com·7h
🦀Rust Borrowing
How Fir formats comments
osa1.net·2d
💾Binary Linguistics
Hidden Gems in the Swift Argument Parser - Part I @ SwiftToolkit.dev
swifttoolkit.dev·1d
📝Shell Parsing
Lessons Learned from Vibe-Coding a Configuration Parser
deanebarker.net·8h·
Discuss: Hacker News
🔗Concatenative Programming
I Made My AI Model 84% Smaller and It Got Better, Not Worse
towardsdatascience.com·4h
🎙️Whisper
Throwing Darts in Latent Space
guille.site·2h·
Discuss: Hacker News
🧠Machine Learning
Apply the Trie: Word Search
mmhaskell.com·13h·
Discuss: Hacker News
🌳Trie Structures
The QCET Taxonomy of Standard Quality Criterion Names and Definitions for the Evaluation of NLP Systems
arxiv.org·18h
📐Binary Grammars
In Defense of Tokenizers
huggingface.co·1d·
Discuss: Hacker News
📝Text Parsing
Time Traveler AI: Teaching Language Models to Understand the Past
dev.to·16h·
Discuss: DEV
🤖Paleographic AI
The eval() Conundrum
slott56.github.io·1d
💧Liquid Types
I've used Node.js for years, but I never really knew how it worked. So I went down the rabbit hole.
medium.com·1d
🌳Incremental Parsing
[R] No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
reddit.com·6h·
Discuss: r/MachineLearning
⚔️Lean Tactics