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Performance Hints for BigQuery
trmlabs.com·5h·
Discuss: Hacker News
🚀Query Optimization
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·15h·
Discuss: r/compsci
📥Feed Aggregation
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Learned Compression
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The power of box dimension attacks on the Epstein files
news.ycombinator.com·14h·
Discuss: Hacker News
🔄Burrows-Wheeler
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T3X.ORG nmhbasic/index
t3x.org·10h·
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📺VT100
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·9h
📝Parsing Grammars
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Optimizing Bracha's Reliable Broadcast: Shaving Rounds off a 37-Year-Old Algorithm
blog.can.ac·3d
🤝Paxos Consensus
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Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints
arxiv.org·2d
🧮Vector Embeddings
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
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📊Quantization
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Document search using Claude and an inverted index.
annanay.dev·4d·
Discuss: Hacker News
🗂️Vector Databases
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MCAP Indexing — Monday Morning Haskell
mmhaskell.com·5d
🔄Burrows-Wheeler
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
📊Search Ranking
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Redis Threading Model: Debunking the Single-Threaded Myth
redis.io·3d·
Discuss: DEV
⚡Redis Internals
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Climate Monitoring Search Engine: Multi-Vectors in Qdrant
pub.towardsai.net
·4d
🗂️Vector Search
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Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
arxiv.org·2d
🕸️Graph Embeddings
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Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
arxiv.org·2d
💻Local LLMs
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The Little Book of Python Anti-Patterns — Python Anti-Patterns documentation
docs.quantifiedcode.com·2d·
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✅Format Verification
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nix-community/lila: Nix hash collection software, to aggregate build reports from several builders [maintainer=@JulienMalka, @raboof]
github.com·3d
❄️Nix Flakes
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<p>**Abstract:** The escalating sophistication of malware necessitates advanced detection techniques beyond signature-based or heuristic approaches. We introduc...
freederia.com·3d
🦠Malware Analysis
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.com·5d
🧠Machine Learning
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