TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·5h
🪜Recursive Descent
Defeating Return Type Polymorphism
philipphagenlocher.de·12h·
Discuss: Hacker News
📏Linear Haskell
Building a BPE Tokenizer from scratch - optimizations & experiments
reddit.com·21h·
Discuss: r/LocalLLaMA
🎓Teaching Compilers
Farewell-to-Framework-Bloat-How-I-Rediscovered-Simplicity-Without-Sacrificing-Performance
dev.to·8h·
Discuss: DEV
📦Monorepos
PLSEMANTICSBENCH: Large Language Models As Programming Language Interpreters
arxiv.org·2d
🎭Staged Interpreters
Less Is More: Recursive Reasoning with Tiny Networks
github.com·18h·
Discuss: Hacker News
🌱Minimal ML
Efficient and accurate search in petabase-scale sequence repositories
nature.com·17h·
Discuss: Hacker News
📝Text Algorithms
Show HN: I built a local AI agent desk toy
blog.simone.computer·14h·
Discuss: Hacker News
🌊Reactive Languages
Aligning Large Language Models via Fully Self-Synthetic Data
arxiv.org·5h
🪜Recursive Descent
Three Solutions to Nondeterminism in AI
blog.hellas.ai·21h·
Discuss: Hacker News
✅Type Checking
What's new in Python 3.14
docs.python.org·1d·
Discuss: Hacker News, Hacker News
⚡Incremental Parsing
MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models
arxiv.org·5h
🌱Minimal ML
SAT problems are kind of cool
blog.karanjanthe.me·17h·
Discuss: Hacker News
🧩SAT Solvers
Doing Math with Embeddings for Better AI Ad Targeting
ethicalads.io·9h·
Discuss: Hacker News
🪢Rope Data Structures
Behind the Scenes of Pingoo: Slashing allocations in Rust with mimalloc and heapless to build the fastest reverse proxy
kerkour.com·1d
📏Linear Logic
Building Vajra: My Journey Creating an AI Coding Assistant
chatgpt.com·6h·
Discuss: DEV
🎮Language Ergonomics
GaloisInc/parameterized-utils
github.com·1d
📏Linear Haskell
Comparing human and language models sentence processing difficulties on complex structures
arxiv.org·5h
🪜Recursive Descent
Reviving Lost Tongues: AI-Powered Grammar for Language Preservation
dev.to·1d·
Discuss: DEV
🔍Parsing Algorithms
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
arxiv.org·5h
📋S-Expression