How I Doubled My Lookup Performance with a Bitwise Trick
reddit.com·14h·
Discuss: r/programming
🗂️Vector Indexes
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.org·7h
🧠LLM Inference
Hierarchical Modeling (H-Nets)
cartesia.ai·15h·
Discuss: Hacker News
🔢BitNet
How to enable real time semantic search and RAG applications with Dataflow ML
cloud.google.com·19h
🎯Qdrant
A Minimal DDPM
github.com·9h·
Discuss: Hacker News
🧠LLM Inference
Effectively Zero-Knowledge Proofs for NP with No Interaction, No Setup
eccc.weizmann.ac.il·13h·
Discuss: Hacker News
🧮SMT Solvers
New method makes AI language model evaluations faster, fairer, and less costly
techxplore.com·19h
🏆LLM Benchmarking
How I Doubled My Lookup Performance with a Bitwise Trick
maltsev.space·14h
🔍Binary Analysis
Principles for Picking Practical Interpretability Projects
lesswrong.com·17h
🔍AI Interpretability
Reflections on OpenAI
simonwillison.net·17h
🚀Indie Hacking
New research connects quantum computing power to the security of cryptographic systems
phys.org·23h
🔐Hardware Security
Report: The AI Efficiency Boom
semiengineering.com·4h
📱Edge AI Optimization
Improve Precision of Parasitic Extraction for Digital Designs
semiwiki.com·18h
🔬Chip Fabrication
Langevin Flows for Modeling Neural Latent Dynamics
arxiv.org·7h
🧠LLM Inference
How far can reasoning models scale?
epoch.ai·7h·
Discuss: Hacker News
🏆LLM Benchmarking
Saving the Lost Silent Zuckerberg Interview With the Amazing Power of AI
404media.co·19h
💳Content Monetization
Claude Code Unleashed
ymichael.com·16h·
Discuss: Hacker News
🚀Async Optimization
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·7h
📊Vector Databases
COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.org·7h
🗜️Vector Compression
Enabling Rapid Genomic Analysis with Illumina Dragen on Amazon EC2 F2 Instances
aws.amazon.com·12h·
Discuss: Hacker News
📊Model Serving Economics