#367
weeknotes.barrucadu.co.uk·1d
🦀Rust Borrowing
Creating Real-Time Multimodal AI Pipelines: Scaling File Processing to 50M Daily Uploads
engineering.salesforce.com·2d
🌊Stream Processing
7 reasons to use Bayesian inference!
statmodeling.stat.columbia.edu·2d·
Discuss: Hacker News
🧮Kolmogorov Bounds
Matrix Multiplication in CUDA
kharshit.github.io·20h·
Discuss: Hacker News
⚡SIMD Vectorization
What makes a quantum computer good?
newscientist.com·5h
⚛️Quantum Tape
I Built an AI Flood Forecasting System with Next.js 15 &
future.forem.com·1d·
Discuss: DEV
🌊Streaming Systems
Not Another GPT Wrapper
genorimo.com·1d·
Discuss: Hacker News
🌀Brotli Internals
Actually finding vulnerabilities using AI with Joshua Rogers
opensourcesecurity.io·16h·
Discuss: Hacker News
🚀Indie Hacking
VibeAlive: Cleaning Up the Code Chaos of AI-Assisted Development
vibe.forem.com·18h·
Discuss: DEV
🌀Brotli Dictionary
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
huggingface.co·4d·
Discuss: Hacker News
📊Learned Metrics
Everyone's Searching for Agentic AI. Here's What 94% Get Wrong.
dev.to·10h·
Discuss: DEV
⚡Proof Automation
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3d·
Discuss: DEV
📊Multi-vector RAG
Sensing, Detection and Localization for Low Altitude UAV: A RF-Based Framework via Multiple BSs Collaboration
arxiv.org·12h
🧠Machine Learning
Building a Streaming Data Pipeline with Kafka and Spark: Real-Time Analytics Implementation Guide
dev.to·3d·
Discuss: DEV
🌊Apache Kafka
Samsung AI researcher's new, open reasoning model TRM outperforms models 10,000X larger — on specific problems
venturebeat.com·4d·
Discuss: Hacker News
🧠Intelligence Compression
Enhancing Vector Signal Generator Accuracy with Adaptive Polynomial Regression Calibration
dev.to·3d·
Discuss: DEV
📡Audio Modulation
Evaluating the Sensitivity of LLMs to Harmful Contents in Long Input
arxiv.org·5d
📝ABNF Extensions
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
arxiv.org·5d
🧠Intelligence Compression
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
[D] Anyone using smaller, specialized models instead of massive LLMs?
reddit.com·4d·
Discuss: r/MachineLearning
💻Local LLMs