Detecting Exposed LLM Servers: A Shodan Case Study on Ollama
blogs.cisco.com·19h
🧮Algorithms
Who says databases are boring? Microsoft, Google, and AWS all back the Linux Foundation's move to add DocumentDB
techradar.com·1d
👩‍💻Programming
Sinner drops just 3 games to Bublik; quarters next
espn.com·5h
👩‍💻Programming
Compilation vs. vectorization, search engine edition
jpountz.github.io·4d·
Discuss: Hacker News
🧮Algorithms
Automated Legal Citation Network Analysis for Precedent Prediction & Case Outcome Forecasting
dev.to·8h·
Discuss: DEV
📈Machine Learning
Ms Excel and Predictive Data analysis
linkedin.com·1d·
Discuss: DEV
👩‍💻Programming
Introducing DB Portal - SQL editor, light ETL, user management.
reddit.com·1d·
Discuss: r/golang
👩‍💻Programming
Qoder's Codebase‑Aware Code Retrieval: A Hybrid Approach for AI Coding
dev.to·17h·
Discuss: DEV
👩‍💻Programming
New comment by manish_gill in "Ask HN: Who is hiring? (September 2025)"
news.ycombinator.com·14h·
Discuss: Hacker News
👩‍💻Programming
Automated Clinical Problem Detection from SOAP Notes using a Collaborative Multi-Agent LLM Architecture
arxiv.org·1d
📈Machine Learning
Estimating the predictability of questionable open-access journals
science.org·1d·
Discuss: Hacker News
📈Machine Learning
Task:Create vector database integration for RAG system
vibe.forem.com·5d·
Discuss: DEV
👩‍💻Programming
[R] Graph ML benchmarks and foundation models
reddit.com·19h·
Discuss: r/MachineLearning
📈Machine Learning
Multidimensional Embedding Comparison with “diemsim”
dev.to·15h·
Discuss: DEV
📈Machine Learning
💊 How I Built an RCPA Prescription Performance Dashboard in Power BI
dev.to·22h·
Discuss: DEV
🧮Algorithms
ImmunoAI: Accelerated Antibody Discovery Using Gradient-Boosted Machine Learning with Thermodynamic-Hydrodynamic Descriptors and 3D Geometric Interface Topology
arxiv.org·1d
📈Machine Learning
Why Kafka and Iceberg Will Define the Next Decade of Data Infrastructure
blog.streambased.io·20h·
Discuss: Hacker News
🧮Algorithms
Building Reliable RAG Pipelines
dev.to·1d·
Discuss: DEV
📈Machine Learning
Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
arxiv.org·1d
📈Machine Learning
Your LLM is too large: How I generate production-ready failure analysis on a toaster
developers.redhat.com·45m
🧮Algorithms