A Wood Chipper from First Principles
hackaday.com·10h
🔨Swedish Craftsmanship
Combinatorial Explosion of Versions 5 Years Later
worklifenotes.com·1d·
Discuss: Hacker News
🦋Format Evolution
Architecting J.A.R.V.I.S. With the Gemini API and Concurrency in Rust
rohan.ga·1d·
Discuss: Hacker News
🌊Streaming Systems
Study Finds LLM Users Have Weaker Understanding After Research
slashdot.org·2d
🧠Intelligence Compression
Scaffolding Dexterous Manipulation with Vision-Language Models
arxiv.org·3d
🤖Advanced OCR
Animal calls are not comparable to human speech
languagelog.ldc.upenn.edu·2d
📼Cassette Linguistics
Machine Learning Fundamentals: adam optimizer example
dev.to·2d·
Discuss: DEV
📊Quantization
Tracing Errors, Constructing Fixes: Repository-Level Memory Error Repair via Typestate-Guided Context Retrieval
arxiv.org·4d
🎯Gradual Typing
🧠 RAG in Minutes with MultiMind SDK — No LangChain Needed
dev.to·21h·
Discuss: DEV
🌀Brotli Internals
RecCoT: Enhancing Recommendation via Chain-of-Thought
arxiv.org·1d
🔍Information Retrieval
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
arxiv.org·1d
💻Local LLMs
Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution
arxiv.org·4d
🔨Compilers
From Dev Blog to AI Discovery – How to Rank Your Content in Generative Search
dev.to·2d·
Discuss: DEV
📊Feed Optimization
Improving Stochastic Cubic Newton with Momentum
arxiv.org·1d
🧠Machine Learning
Advanced Path of Network Programming Deep Exploration from TCP to Application Layer Protocols（1751072274118800）
dev.to·17h·
Discuss: DEV
🌐Network Protocols
Understanding JavaScript reduce
dev.to·1d·
Discuss: DEV
⬆️Lambda Lifting
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
arxiv.org·3d
🧠Intelligence Compression
RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1
arxiv.org·3d
⚡Incremental Computation
Therapy as an NLP Task: Psychologists' Comparison of LLMs and Human Peers in CBT
arxiv.org·2d
🌲Parse Trees
SAC: A Framework for Measuring and Inducing Personality Traits in LLMs with Dynamic Intensity Control
arxiv.org·1d
🧠Intelligence Compression