🎲 Make an inventory
chavanniclass.wordpress.com·16h
🚀space
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HPE Reveals Compute And Networking for GX5000 Supercomputers
nextplatform.com·20h·
💾Cache Systems
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SaaS, PaaS, and IaaS: A Comprehensive Guide to Cloud Service Models
saaslyai.com·1d·
Discuss: DEV
🗜️Compression Algorithms
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[R] is Top-K edge selection preserving task-relevant info, or am I reasoning in circles?
reddit.com·20h·
algorithms
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Statistical tests are complicated because their inventors didn't have computers
agarriga.substack.com·2d·
Discuss: Substack
algorithms
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How to Plan a Tournament Structure When You Don't Know Where to Start
dev.to·1d·
Discuss: DEV
🗜️Compression Algorithms
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Amazon Inspector detects over 150,000 malicious packages linked to token farming campaign
aws.amazon.com·14h
🗜️Compression Algorithms
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⚠️ Do not use LLMs to privatize your data without Differential Privacy! ⚠️
reddit.com·1d·
Discuss: r/LocalLLaMA
💾Cache Systems
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I am building an single binary Learning Management System and looking for contributors.
reddit.com·10h·
Discuss: r/node
🗜️Compression Algorithms
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Recursive Spatiotemporal Kernel Alignment for Multi-Scale Anomaly Detection in Acoustic Scenes
dev.to·1d·
Discuss: DEV
🗜️Compression Algorithms
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Where the evolution of the Internet may be heading
blog.apnic.net·2d
💾Cache Systems
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new to obsidian - bases and structure for now?
reddit.com·2d·
Discuss: r/ObsidianMD
💾Cache Systems
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Reflections on being Sorted
lesswrong.com·1d
🚀space
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Serverless Node.js: How to Build Ultra-Fast, Cost-Efficient Backends
dev.to·1d·
Discuss: DEV
🗜️Compression Algorithms
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Database games
blog.vbuckenham.com·1d·
Discuss: Hacker News
algorithms
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DI containers are dead, long live context containers!
dev.to·1d·
Discuss: DEV
0️⃣Bitwise Operations
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Keynote: Cloud Native Back to the Future: The Road Ahead - Jeremy Rickard & Alex Chircop
youtube.com·10h
💾Cache Systems
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🌤 Today Is a Beautiful Day to Write Code
dev.to·2d·
Discuss: DEV
💾Cache Systems
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Instant Parameter Selection for Modular Systems (b, p, t, r)
news.ycombinator.com·2d·
Discuss: Hacker News
0️⃣Bitwise Operations
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Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
arxiv.org·1d
algorithms
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