🌲 Parse Trees

AST Construction, Syntax Analysis, Grammar Processing, Tree Transformations

Embedding Lua in Nim
lambdacreate.com·20h
🦀Rust Macros
A grand week
blog.mitrichev.ch·1d·
Discuss: blog.mitrichev.ch
🧮SMT Solvers
Learning Go by Building a Local Chat App — Feedback Welcome
github.com·10h
🎙️Whisper
A multi-platform GPU accelerated library for signal analysis using Apple MLX
byron-the-bulb.github.io·12h·
Discuss: Hacker News
📊Spectrograms
Let's Prove Leftpad
github.com·40m·
Discuss: Hacker News
📜Proof Carrying Code
Master Pronunciation with AI: How Tech Helps
future.forem.com·7h·
Discuss: DEV
🗣️CMU Pronouncing
Autoreview: The Dragon Hatchling – The Missing Link Between the Transformer and
arxiviq.substack.com·1d·
Discuss: Substack
🔲Cellular Automata
State of the Art of AI Tools in Micro-Frontend Architectures • Luca Mezzalira • GOTO 2025
youtube.com·20h
🌀Brotli Internals
Characteristics of successful AI chat integrations
waleedk.medium.com·21h·
Discuss: Hacker News
🔄Language Evolution
AI-Driven Predictive Maintenance of Compression Testing Machines via Multi-Modal Data Fusion & Semantic Parsing
dev.to·1d·
Discuss: DEV
🧠Intelligence Compression
Cost Efficient Fairness Audit Under Partial Feedback
arxiv.org·4h
🌸Bloom Variants
Know Thyself? On the Incapability and Implications of AI Self-Recognition
arxiv.org·4h
💻Local LLMs
AWS Certified Machine Learning Engineer Core Concepts
dev.to·2d·
Discuss: DEV
🧠Machine Learning
Meta-Author's Notes: Codie's Cognitive Chronicles
dev.to·1d·
Discuss: DEV
🧠Intelligence Compression
AI Under the Hood Part I: Understanding the Machine
kennethwolters.com·3d·
Discuss: Hacker News
📼Cassette Combinators
Decoding Emotion in the Deep: A Systematic Study of How LLMs Represent, Retain, and Express Emotion
arxiv.org·4h
💻Local LLMs
Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
arxiv.org·4h
🧠Intelligence Compression
Speak, Edit, Repeat: High-Fidelity Voice Editing and Zero-Shot TTS with Cross-Attentive Mamba
arxiv.org·4h
🗣️CMU Pronouncing
You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
arxiv.org·4h
🦠Parasitic Archives
AI Development Interview Questions : Mock Interviews
dev.to·7h·
Discuss: DEV
🗺️Competency Maps