From Linear Regression to XGBoost: A Side-by-Side Performance Comparison
machinelearningmastery.com·21h
🧠Machine Learning
Do You Really Know How `or` And `and` Work in Python?
thepythoncodingstack.com·20h
🔗Lisp
Helix Editor Release 25.07 Highlights
helix-editor.com·3d·
Discuss: Lobsters, Hacker News, r/linux
🌳Incremental Parsing
Evaluating Image Compression Tools
rachelplusplus.me.uk·6d·
Discuss: Hacker News
📊Rate-Distortion Theory
Reading in the Age of AI
damngrav.substack.com·1d·
Discuss: Substack
🏛Digital humanities
I am a Rust compiler engineer looking for a new job
nnethercote.github.io·1d·
Discuss: Hacker News
🦀Rust Macros
Mastering Go Memory Management: 10 Techniques for High-Performance Apps
dev.to·16h·
Discuss: DEV
🧠Memory Allocators
CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
arxiv.org·2d
🎬AV1 Encoding
Fix These 20 Common PHP Errors Using AI Tools
dev.to·17h·
Discuss: DEV
⚡Proof Automation
XRL Resources
github.com·22h·
Discuss: Hacker News
🔗Constraint Handling
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.com·4d·
Discuss: Lobsters, Hacker News
🔍Information Retrieval
What can we expect of LLMs as Software Engineers?
chelseatroy.com·4d·
Discuss: Hacker News
📝Text Parsing
Time Series Is Everywhere—Here’s How to Actually Forecast It
dev.to·23h·
Discuss: DEV
📈Time Series
How to Save a Python List to a File
dev.to·2d·
Discuss: DEV
💾Database Formats
The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations
arxiv.org·1d
🧠Intelligence Compression
DocWire SDK 2025.07.14 Released – OpenAI Embeddings, MIME Type Logic, HTTP Refactor
dev.to·2d·
Discuss: DEV
🌐Web Standards
On One-Shot Signatures, Quantum vs Classical Binding, and Obfuscating Permutations
arxiv.org·2d
🔐Quantum Security
InSight: AI Mobile Screening Tool for Multiple Eye Disease Detection using Multimodal Fusion
arxiv.org·1d
🤖Advanced OCR
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·3d
🧮Kolmogorov Bounds
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
arxiv.org·1d
🧠Neural Codecs