Mixed nuts #15
brycewray.com·14h
📰RSS Reading Practices
Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.ch·2d
🗃️Database Storage
[$] Supporting kernel development with large language models
lwn.net·18h
💻Local LLMs
Collaborations Workshop 2025 Report
software.ac.uk·37m
📇Dublin Core
A Standard for Human-Centered Investigation Playbooks
chrissanders.org·1d
🎯Threat Hunting
Show HN: Requests-Based Google Maps Scraper
apify.com·1d·
Discuss: Hacker News
🔍BitFunnel
What LLMs Know About Their Users
schneier.com·1d·
Discuss: Hacker News
💻Local LLMs
HarmonyOS5-NewsAPP-KnockShare
dev.to·5h·
Discuss: DEV
🔄Sync Engine
How data conversations unlock the transformative potential of AI
techradar.com·18m
🌊Stream Processing
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
arxiv.org·1d
🔍BitFunnel
Machine Learning Fundamentals: adam optimizer
dev.to·17h·
Discuss: DEV
📊Quantization
Solve a real-world problem with AI
dev.to·2h·
Discuss: DEV
🧮Z3 Applications
SMOTE or Synthetic Data for Handling Class Imbalance? I Wrote About It on ThinkML
dev.to·5h·
Discuss: DEV
💧Liquid Types
A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
arxiv.org·1d
📊Learned Metrics
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·2d
🧮Kolmogorov Complexity
Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use
aws.amazon.com·17h
🌀Brotli Internals
Advanced Path of Network Programming Deep Exploration from TCP to Application Layer Protocols（1750952117902400）
dev.to·17h·
Discuss: DEV
🌐Network Protocols
"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
arxiv.org·5h
🔍Information Retrieval
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
arxiv.org·5h
🛡️Differential Privacy
Efficient stream-based Max-Min diversification with minimal failure rate
arxiv.org·3d
🌊Streaming Algorithms