🌸 Bloom Filters

Probabilistic Data Structures, False Positives, Set Membership, Space Efficiency

Why is so much of life spent clearing up? | Adrian Chiles
theguardian.com·15h
🥒Pickling
Researchers decipher structure of a human protease implicated in various diseases
phys.org·11h
📇Vector Indexing
🎲 Ping
toor.su·5h
🏠Self-hosting
🎲 Valediction.
zeldman.com·18h
📰RSS Reading Practices
Spooky Action, Real Results: Turning Quantum Weirdness Into Secure Random Numbers
scitechdaily.com·2h
🚀Indie Hacking
DEVONthink 4.0 Copernicus
devontechnologies.com·14h·
Discuss: Hacker News
🆕New AI
[$] Supporting kernel development with large language models
lwn.net·10h
🏆LLM Benchmarking
Navy SEALs, Performance vs. Trust, and AI
mljar.com·14h·
Discuss: Hacker News
🛡️AI Safety
From "LangGraph is trash" to "pip install langgraph": A Stockholm Syndrome Story
reddit.com·9h·
Discuss: r/LocalLLaMA
🐑Ollama
Breaking Spatial Boundaries: Spectral-Domain Registration Guided Hyperspectral and Multispectral Blind Fusion
arxiv.org·21h
📊Vector Databases
How Much Data From a Sequencing Run?
lesswrong.com·22h
📊Model Serving Economics
The Great Data Reimagination: From Static to Agile in the AI Era
thenewstack.io·9h
📦In-process Databases
Learning-based safety lifting monitoring system for cranes on construction sites
arxiv.org·21h
🛡️AI Safety
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
arxiv.org·21h
📋Text Quality
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
arxiv.org·21h
📋MCP
Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective
infoworld.com·13h
📦In-process Databases
What’s Your AI Development Process?
mguhlin.org·2h
🆕New AI
Define-ML: An Approach to Ideate Machine Learning-Enabled Systems
arxiv.org·21h
🏆LLM Benchmarking
In RAG systems, who's really responsible for hallucination... the model, the retriever, or the data?
reddit.com·10h·
Discuss: r/LocalLLaMA
🔄LLM RAG Pipelines
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
arxiv.org·21h
🔍Information Retrieval