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10× Faster Log Processing at Scale: Beating Logstash Bottlenecks with Timeplus
timeplus.com·4h·
Discuss: Hacker News
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Explaining Financial Models by Deleting Transactions
building.nubank.com·5h
🤖Machine Learning
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Building world-class product search at Shopify: Where C++ excellence meets ML innovation
shopify.engineering·21h
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AI-Accelerated Agile Hardware Design Using the ROHD Framework
intel.github.io·21h·
Discuss: Hacker News
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🚀 Today I Solved: Find the Largest/Smallest Subarray with Sum = K
dev.to·17h·
Discuss: DEV
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·1d
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Inclusion of Role into Named Entity Recognition and Ranking
arxiv.org·1d
🤖Machine Learning
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A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates
arxiv.org·2d
🤖Machine Learning
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Bill Belichick 'getting ready for Wake Forest,' not thinking about Giants job
nytimes.com·23h
💪Fitness
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DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
arxiv.org·16h
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Gus Johnson recounts euphoric Indiana-Penn State football call: 'The moment you dream about'
nytimes.com·6h
💪Fitness
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MCP-RiskCue: Can LLM infer risk information from MCP server System Logs?
arxiv.org·1d
🤖Machine Learning
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Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
arxiv.org·1d
🤖Machine Learning
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How context engineering can save your company from AI vibe code overload: lessons from Qodo and Monday.com
venturebeat.com·2d·
Discuss: Hacker News
💻Software Engineering
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Ship Faster with Confidence: A 6-Step AI-Assisted Dev Pipeline
dev.to·2d·
Discuss: DEV
💻Software Engineering
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L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework
arxiv.org·1d
🤖Machine Learning
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Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer
arxiv.org·1d
🤖Machine Learning
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Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients
arxiv.org·1d
🤖Machine Learning
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After 30ish years of starts and stops I finally released a "computer game" in a rather unexpected way.
reddit.com·1d·
Discuss: r/gamedev
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Sensitivity of Small Language Models to Fine-tuning Data Contamination
arxiv.org·1d
🤖Machine Learning
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