Performance Issues in Web Services: A Practical Guide to Identification and Resolution
dev.to·10h·
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🚀Web Performance
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A hitchhiker's guide to CUDA programming
seanzhang.me·1d·
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Cache Optimization
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I'm currently solving a problem I have with Ollama and LM Studio.
reddit.com·4h·
Discuss: r/LocalLLaMA
🦙Ollama
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Challenging the Fastest OSS Workflow Engine
obeli.sk·13h·
🔵Go
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Bringing Ideas to Life with 3D Design and Smart Performance Tools
bottleneckscalculators.com·1d·
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🚀Web Performance
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Opportunistically Parallel Lambda Calculus
dl.acm.org·1d·
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🔧DSPy
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Libevpl – event loop engine with unified abstractions for network and block I/O
github.com·1d·
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Infrastructure Sustainability
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Symbolic Alchemy: Transmuting Linear Solvers into Lightning Speed by Arvind Sundararajan
dev.to·2d·
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📊Algorithms
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Plan for Learning, Not Certainty
timcheadle.com·7h·
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🔁System Thinking
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Don't Just Fine-tune the Agent, Tune the Environment
paperium.net·7h·
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📐Spec-Driven Development
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Designing Data-Intensive Applications — Chapter 1: Reliable, Scalable, and Maintainable Applications
techblog.netflix.com·2d·
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Caching Strategies
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Beyond LZ4 Limits, Logging at high speed with on-the-fly compression
medium.com·1d·
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🦭Podman
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Runs-On: Mac
runs-on-mac.com·5h·
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AI-Driven DevOps
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How fast can an LLM go?
fergusfinn.com·1d·
Discuss: Hacker News
📉Model Quantization
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Torchforge – a PyTorch native library for scalable RL post-training
pytorch.org·1d·
Discuss: Hacker News
💸Affordable LLMs
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Context-Bench: Benchmarking LLMs on Agentic Context Engineering
letta.com·3h·
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💬Prompt Engineering
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Unleash AI Performance: How Chiplets and Smart Networks Are Democratizing Custom Silicon by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🛡️AI Security
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Myths Programmers Believe about CPU Caches
software.rajivprab.com·21h·
Discuss: Hacker News
Cache Optimization
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Stop-Guessing-Start-Measuring-A-Pragmatic-Guide-to-Web-Performance
dev.to·2d·
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🕸️WASM
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Telcos Don’t Just Need 5G — They Need Faster Decision Loops
telcoedge.com·1d·
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🌍Edge Computing
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