A Subsets.py Step-by-Step Visualization! (With Lyrics)
youtube.comยท1d
โกRuff
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The Engineering Guide to Efficient LLM Inference: Metrics, Memory, and Mathematics
pub.towardsai.netยท2d
๐Profile-Guided Optimization
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Rust/Tokio vs. Go for a server side app that requires high performance/low latency.
๐Glommio vs Tokio
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Built a tool to solve the "how much GPU do I actually need?" problem for LLM deployment
๐Performance Tools
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Racing karts on a Rust GPU kernel driver
๐จWGPU
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Hachi: An Image Search Engine
๐จChroma
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Bringing Federated Learning to Space
arxiv.orgยท3d
๐HyperLogLog
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Adaptive Clock Distribution Network Synchronization via Dynamic FPGA Reconfiguration & Bayesian Inference
๐๏ธSmartNICs
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Scaling AI the Right Way: Platform Patterns for Performance and Reliability
devops.comยท1d
๐งDevOps
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GPU-Powered Networking: The Future of Blazing-Fast Model Training by Arvind Sundararajan
๐ฅPyTorch
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Data Science Weekly โ Issue 626
๐Data Science
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ChangeDINO: DINOv3-Driven Building Change Detection in Optical Remote Sensing Imagery
arxiv.orgยท2d
๐๏ธComputer Vision
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