Why You Should Care About Vendors Using AI Products, and How Bitsight Helps You Find Out
bitsight.com·20h
🔗Supply Chain
What can we expect of LLMs as Software Engineers?
chelseatroy.com·3d
📝Text Parsing
10 Python Math & Statistical Analysis One-Liners
kdnuggets.com·1d
📐Interval Arithmetic
Is artificial intelligence turning off our minds?
english.elpais.com·22h·
Discuss: Hacker News
🌍Cultural Algorithms
Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
bronto.io·2d·
Discuss: Hacker News
📝Log Parsing
Teams Without Vision Are Just Busywork Factories
hackernoon.com·14h
🎯Threat Hunting
Thoughts on External Memory for LLMs
medium.com·57m·
Discuss: Hacker News
⚡Hardware Transactional Memory
Why AI ops miss the real AI adoption problem
mocksi.ai·1d·
Discuss: Hacker News
🌍Cultural Algorithms
Xiangqi-R1: Enhancing Spatial Strategic Reasoning in LLMs for Chinese Chess via Reinforcement Learning
arxiv.org·1d
🔲Cellular Automata
CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
arxiv.org·1d
💻Programming languages
AI Improves at Improving Itself Using an Evolutionary Trick
dev.to·8h·
Discuss: DEV
⚡Incremental Computation
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
arxiv.org·5h
🎛️Feed Filtering
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
arxiv.org·1d
🕸️Algebraic Topology
Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need
towardsdatascience.com·3d
📊Learned Metrics
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
arxiv.org·1d
⚖️Feed Ranking
Partial decidability protocol for the Wang tiling problem from statistical mechanics and chaotic mapping
arxiv.org·5h
🎯Performance Proofs
Transformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations
arxiv.org·5h
🧠Machine Learning
NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
arxiv.org·1d
⧗Information Bottleneck
CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
arxiv.org·3d
📏Code Metrics
Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance
towardsdatascience.com·16h
🌲B-tree Forensics