TALENT: Table VQA via Augmented Language-Enhanced Natural-text Transcription
arxiv.org·5h
🏗️MLIR
Dart Object Oriented For Beginner : Expense Manager Case Study Part 9
dev.to·10h·
Discuss: DEV
🔄Coroutines
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
arxiv.org·5h
💬Interactive REPLs
Building a BPE Tokenizer from scratch - optimizations & experiments
reddit.com·21h·
Discuss: r/LocalLLaMA
🎓Teaching Compilers
Comparing human and language models sentence processing difficulties on complex structures
arxiv.org·5h
🪜Recursive Descent
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
huggingface.co·2h·
Discuss: Hacker News
🗺️Region Inference
Running new applications on old glibc
lightofdawn.org·4h·
Discuss: Hacker News
📦Executable Size
H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference
arxiv.org·1d
🗺️Region Inference
How to add fast, client-side search to Astro static sites
evilmartians.com·1d
🏷️Symbol Interning
I made a free AI code editor that is similar to Windsurf or Cursor, but runs on your PC using an Ollama LLM.
github.com·11h·
Discuss: DEV, Hacker News, r/AskProgramming
📚Self-Documenting Code
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·5h
🪜Recursive Descent
Efficient and accurate search in petabase-scale sequence repositories
nature.com·18h·
Discuss: Hacker News
📝Text Algorithms
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
arxiv.org·5h
📋S-Expression
Defeating Return Type Polymorphism
philipphagenlocher.de·12h·
Discuss: Hacker News
📏Linear Haskell
Show HN: I built a local AI agent desk toy
blog.simone.computer·14h·
Discuss: Hacker News
🌊Reactive Languages
Inverting the Most Forbidden Technique: What happens when we train LLMs to lie detectably?
lesswrong.com·8h
🎲Parser Fuzzing
Three Solutions to Nondeterminism in AI
blog.hellas.ai·21h·
Discuss: Hacker News
✅Type Checking
Log Number System for Low Precision Training
habib.bearblog.dev·2h
🌱Minimal ML
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·5h·
Discuss: DEV
🌊Streaming Lexers
Less Is More: Recursive Reasoning with Tiny Networks
github.com·18h·
Discuss: Hacker News
🌱Minimal ML