Codifying Natural Langauge Tasks
arxiv.org·1d
📋Document Grammar
Keystone Titles: Organize 100–500 Variants and Prevent LLM Looping
lightcapai.medium.com·3h·
Discuss: Hacker News
⚡Proof Automation
Markov chains are the original language models
dev.to·2h·
Discuss: DEV
🔗Monadic Parsing
Beyond Vector Search: 5 Next-Gen RAG Retrieval Strategies
machinelearningmastery.com·3h
🔍Information Retrieval
ashvardanian/StringZilla
github.com·14h
🔄Burrows-Wheeler
The Beginning of My Programming Journey
docs.google.com·20h·
Discuss: Hacker News
🦀Rust Macros
How to choose the right embedding model for your RAG application? | by Vivedha Elango | Sep, 2025 | Level Up Coding
levelup.gitconnected.com·1d
📊Multi-vector RAG
Lessons from Vibe Coding Three Apps in Three Weeks
backblaze.com·20h
🌀Brotli Internals
Variation in Verification: Understanding Verification Dynamics in Large Language Models
arxiv.org·1d
🧪Binary Fuzzing
AI Cover Letter Generator – Free Professional Cover Letters
ai-coverletter-generator.com·11h·
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🤖AI Translation
A Knowledge Graph and a Tripartite Evaluation Framework Make Retrieval-Augmented Generation Scalable and Transparent
arxiv.org·11h
🔍Information Retrieval
List is a Monad: Understanding Map, flatMap, and Maybe in Practice
hackernoon.com·9h
🧬Functional Programming
Program Optimisations via Hylomorphisms for Extraction of Executable Code
drops.dagstuhl.de·1d·
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👑Coq Tactics
AI Evals: Why Generic Metrics Hurt Your Product
decodingml.substack.com·1d·
Discuss: Substack
📏Code Metrics
Show HN: SyGra – Graph-oriented Synthetic data generation Pipeline for LLMs
github.com·21h·
Discuss: Hacker News
🦋Format Metamorphosis
AD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback
arxiv.org·11h
💻Programming languages
Zero-Setup All-in-One Java Tooling via Mill Bootstrap Scripts
mill-build.org·3h·
Discuss: Hacker News, r/programming
📦Package Managers
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
arxiviq.substack.com·2d·
Discuss: Substack
💻Local LLMs
ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions
arxiv.org·1d
🔨Compilers
Vibe Coding an Emacs Package: Where It Succeeds and Where It Falls Short
inlandcursor.bearblog.dev·1h·
Discuss: Hacker News
🧩WASM Components