I Don't Like Imports
kevincox.ca¡12h
🦀Rust Macros
Chess Llama - Training a tiny Llama model to play chess
lazy-guy.github.io¡18h¡
Discuss: Hacker News, r/LocalLLaMA, r/programming
👑Coq Tactics
Kranzberg's six laws of technology, a metaphor, and a story (2011)
thefrailestthing.com¡20h¡
Discuss: Hacker News
🧲Magnetic Philosophy
Let's Learn x86-64 Assembly! Part 4 - More About Jumps Than You Wanted To Know
gpfault.net¡1d¡
Discuss: Hacker News
🔧RISC-V Assembler
My thoughts on calculating ROI for AI investment at a Series B startup
hbmartin.substack.com¡1d¡
Discuss: Substack
📏Code Metrics
There's Neuralink—and There's the Mind-Reading Company That Might Surpass It
wired.com¡35m
⚛️Quantum Circuits
I Got into Deep Learning
vikas.sh¡4d¡
Discuss: Hacker News
🧠Machine Learning
I want production-like (or close to production-like) environment on my laptop. My constraint that I cannot use cable for Internet. My only option is WiFi. So, p...
reddit.com¡18h¡
Discuss: r/kubernetes
🏠HomeLab
The great AI delusion is falling apart
telegraph.co.uk¡16h¡
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
ChatGPT is not AI
newsletter.techworld-with-milan.com¡3d¡
Discuss: Hacker News
🎙️Whisper
How Distillation Makes AI Models Smaller and Cheaper
quantamagazine.org¡2d¡
Discuss: Hacker News, Hacker News, Hacker News
📊Quantization
Short Takes #2
secondthoughts.ai¡2d¡
Discuss: Hacker News
🧠Intelligence Compression
HC-05 Bluetooth Module with Arduino using OLED Display
hackster.io¡1d
📡Bluetooth Archaeology
Machine Learning Fundamentals: dropout tutorial
dev.to¡2d¡
Discuss: DEV
👁️Observatory Systems
Nvidia is powering the UK's fastest superocmputer yet - here's what it can do
techradar.com¡1h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
arxiv.org¡3d
🧮Kolmogorov Complexity
Advanced PDF Optimization Techniques - 1752828
dev.to¡3d¡
Discuss: DEV
📸PNG Optimization
Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
arxiv.org¡6d
🧠Machine Learning
Data-Driven Matrix Recovery with High-Dimensional Noise via Optimal Shrinkage of Singular Values and Wavelet Shrinkage of Singular Vectors
arxiv.org¡6d
📐Linear Algebra
Eigenvalues and Eigenvectors: Unveiling the Secrets of Data Transformation in Machine Learning
dev.to¡3d¡
Discuss: DEV
📐Linear Algebra