About to Take the Plunge - Any Final Words of Advice?
bargainhardware.co.ukΒ·10hΒ·
Discuss: r/homelab
πŸ”’Hardware Attestation
Machine Learning Fundamentals: active learning project
dev.toΒ·8hΒ·
Discuss: DEV
🧠Machine Learning
TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows
arxiv.orgΒ·1d
πŸ”„Schema Evolution
Building A Modern Dashboard with Python and Taipy
towardsdatascience.comΒ·2d
πŸŒ€Brotli Internals
Efficient stream-based Max-Min diversification with minimal failure rate
arxiv.orgΒ·1d
🌊Streaming Algorithms
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.orgΒ·20h
πŸŽ›οΈFeed Filtering
Big Data Fundamentals: big data tutorial
dev.toΒ·1dΒ·
Discuss: DEV
πŸ—„οΈDatabase Sharding
Exploring High Efficiency Web Analysis Results（1750876031390300οΌ‰
dev.toΒ·5hΒ·
Discuss: DEV
🌊Stream Processing
Show HN: ToolQL – Create AI Tools with GraphQL
toolql.comΒ·2dΒ·
Discuss: Hacker News
πŸ“ŠGraph Databases
πŸ” Find All K-Distant Indices in an Array – LeetCode 2200 (C++ | Python | JavaScript)
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“ŠAPL Heritage
Agentic Search for Dummies
benanderson.workΒ·3dΒ·
Discuss: Hacker News
πŸ”Information Retrieval
Agentic AI: Implementing Long-Term Memory
towardsdatascience.comΒ·1d
πŸ’ΎPersistence Strategies
Accuracy and componentwise accuracy in multilinear PageRank
arxiv.orgΒ·1d
πŸ“Error Bounds
10 FREE AI Tools That’ll Save You 10+ Hours a Week
kdnuggets.comΒ·12h
πŸŽ™οΈWhisper
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.orgΒ·20h
πŸŒ€Fractal Compression
Machine Learning Fundamentals: active learning
dev.toΒ·1dΒ·
Discuss: DEV
πŸ€–Grammar Induction
Graph Algorithms Explained: Finding Paths and Connections
dev.toΒ·1dΒ·
Discuss: DEV
πŸ•ΈοΈGraph Algorithms
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.orgΒ·1d
πŸ“ŠFeed Optimization
I Built a Database from Scratch in Go - Here's What I Learned About B+ Trees, ACID Transactions, and 1,800 ops/sec Performance πŸš€
dev.toΒ·1dΒ·
Discuss: DEV
πŸ—„οΈSQLite Internals
Uncertainty Quantification on Graph Learning: A Survey
arxiv.orgΒ·20h
πŸ•ΈοΈGraph Embeddings