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Approximation Schemes for Sequential Hiring Problems
arxiv.org·1d
🧬Optimization Algorithms
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The Algebra of Speed: Mathematical Foundations of Computational Performance
ttsugriy.github.io·3d·
Discuss: Hacker News
📊Columnar Engines
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Union-Find Path Compression: A Visual Dry Run
dev.to·1d·
Discuss: DEV
📇Indexing Strategies
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Shapley Value on Uncertain Data
arxiv.org·4h
🔢NumPy
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Addressing Critical Tradeoffs In NPU Design
semiengineering.com·1d
🏗️Hardware Architecture
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featurestorebook/mlfs-book: O'Reilly book - Building Machine Learning Systems with a feature store: batch, real-time, and LLMs
github.com·8h·
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🔄Feed Aggregation
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Simulating Pots with LTSpice
hackaday.com·6h
📈Performance Profiling
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Patterns All the Way Down: A Generalization for Graph-Like Things
medium.com·17h·
Discuss: Hacker News
🧊Iceberg Tables
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Kolmogorov Complexity
en.wikipedia.org·21h·
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🔢NumPy
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Using Local LLMs to Discover High-Performance Algorithms
towardsdatascience.com·2d
⚙️Query Compilers
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Qdrant - Vector Database
qdrant.tech·1d
🧭Vector Databases
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Building scalable agentic assistants: A graph-based approach
thenewstack.io·15h
🕸️Knowledge Graphs
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How Static Analysis Can Expose Personal Data Hidden in Source Code
hackernoon.com·21h
🔐Privacy Engineering
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Flux.2 Klein Debuts: Trying The Compact and Fast AI Image Model
analyticsvidhya.com·1d
📊Columnar Engines
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Implementing Dino from Scratch
logits.bearblog.dev·1d·
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🧮Apache Calcite
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ANN v3: 200ms p99 query latency over 100 billion vectors
turbopuffer.com·1d·
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📊Columnar Engines
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Why AI Needs GPUs and TPUs: The Hardware Behind LLMs
blog.bytebytego.com·2d
📊Columnar Engines
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AI Learning Roadmap for Beginners: Step-by-Step Guide
dev.to·16h·
Discuss: DEV
🎮Reinforcement Learning
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In Praise of APL (1977)
jsoftware.com·55m·
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⚙️Query Compilers
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Gödel, Turing, and AI: the Incomplete Space in Post-AI Architecture
jimiwen.substack.com·1d·
Discuss: Substack
🎮Reinforcement Learning
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