Efficiently Updatable Neural Network (NNUE)
beuke.org·1d
📊Quantization
Dragon Hatchling: Neural Network That Thinks Like a Brain (and Runs on Your GPU)
medium.com·21h·
Discuss: Hacker News
🔲Cellular Automata
An alternative to knowledge graphs for storing loosely structured content
fleetingswallow.com·2d·
Discuss: Hacker News
🕸️Knowledge Graphs
A Solution to the Paperclip Problem
link.springer.com·1d·
Discuss: Hacker News
🔲Cellular Automata
You don't need an AI agent framework, or why frameworks are the new Juicero
konvu.com·12h·
Discuss: Hacker News
🔬Refinement Types
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·2d·
Discuss: Hacker News
🧠Learned Indexing
Understanding the 4 Main Approaches to LLM Evaluation (From Scratch)
magazine.sebastianraschka.com·2d·
Discuss: Hacker News
✓Automated Theorem Proving
MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction
arxiv.org·1d
💻Local LLMs
PsycholexTherapy: Simulating Reasoning in Psychotherapy with Small Language Models in Persian
arxiv.org·1d
💻Programming languages
Code-Switching In-Context Learning for Cross-Lingual Transfer of Large Language Models
arxiv.org·5h
🎙️Whisper
Characteristic Learning for Provable One Step Generation
arxiv.org·1d
🤖Grammar Induction
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
arxiv.org·2d
🔍Concolic Testing
Decoding Emotion in the Deep: A Systematic Study of How LLMs Represent, Retain, and Express Emotion
arxiv.org·1d
💻Local LLMs
Linguistic Characteristics of AI-Generated Text: A Survey
arxiv.org·5h
📝Text Parsing
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
arxiv.org·5h
🧠Intelligence Compression
RAG Chunking Strategies That Actually Work (and Why Most Don’t)
dev.to·23h·
Discuss: DEV
📄Text Chunking
🚀 Hello DEV Community! I’m Thiyagarajan Varadharajan – Python Full Stack Developer | AI Enthusiast
dev.to·8h·
Discuss: DEV
🌀Brotli Internals
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
arxiv.org·1d
🧮Kolmogorov Bounds
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
arxiv.org·1d
🧠Intelligence Compression
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
arxiv.org·5h
📏Range Queries