๐Ÿฟ๏ธ ScourBrowse
LoginSign Up
You are offline. Trying to reconnect...
Copied to clipboard
Unable to share or copy to clipboard
๐Ÿ“Š Quantization

Model Compression, Neural Networks, Precision Reduction, Efficient Inference

Vintage computing boffin releases expansive Intel 286 test suite
theregister.comยท5hยท
Discuss: r/hardware
๐ŸŽฏEmulation Accuracy
2025-07-16: Understanding Hallucination in Large Language Models: Challenges and Opportunities
ws-dl.blogspot.comยท4dยท
Discuss: ws-dl.blogspot.com
โœจEffect Handlers
Unsupervised Learning NO. 490
newsletter.danielmiessler.comยท6h
๐Ÿ–ฅ๏ธTerminal Renaissance
Complete Beginner's Guide to GenAI Development: From Python to Production-Ready AI Agents
dev.toยท1dยท
Discuss: DEV
๐ŸŒณContext free grammars
Understanding Derivatives: The Slope of Change
dev.toยท2dยท
Discuss: DEV
๐ŸŒ€Differential Geometry
SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation
arxiv.orgยท17h
๐Ÿ“‹Document Grammar
Alibaba's Qwen2.5 only excels at math thanks to memorized training data
the-decoder.comยท1d
๐Ÿง Intelligence Compression
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
arxiv.orgยท17h
๐ŸคConsensus Networks
LLMs Are Still in Their Infancy, or Why Programmers Aren't Being Replaced
amatriz.netยท1dยท
Discuss: Hacker News
๐Ÿ’ปLocal LLMs
You Have to Decide
tern.shยท1hยท
Discuss: Hacker News
๐Ÿ“Code Metrics
Smart fault detection in satellite electrical power system
arxiv.orgยท17h
๐Ÿง Machine Learning
Manus AI agent context engineering โ€“ practical implementation guide
aicodingtools.blogยท2dยท
Discuss: Hacker News
โšกIncremental Computation
Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad
simonwillison.netยท1h
๐ŸงฎSMT Solvers
Different way to look at LLMs, think word embeddings going to college
dev.toยท9hยท
Discuss: DEV
๐ŸงฎVector Embeddings
Pytorch quickstart โ˜„๏ธ: Some of my Pytorch notes
dev.toยท2dยท
Discuss: DEV
๐ŸŒ€Brotli Internals
Mastering Dimensionality Reduction: A Comprehensive Guide to PCA, t-SNE, UMAP, and Autoencoders
dev.toยท4dยท
Discuss: DEV
๐Ÿ“Vector Dimensionality
Buggy rule diagnosis for combined steps through final answer evaluation in stepwise tasks
arxiv.orgยท17h
โœ“Automated Theorem Proving
Complete 11+ Hour Python Course for Beginners
dev.toยท1dยท
Discuss: DEV
๐ŸŽตAudio ML
Tri-Learn Graph Fusion Network for Attributed Graph Clustering
arxiv.orgยท17h
๐ŸŒŠSpectral Clustering
Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment
arxiv.orgยท17h
๐ŸŒ€Differential Geometry
Loading...Loading more...
AboutBlogChangelogRoadmap