Performance Testing, Profiling, Metrics Collection, Comparative Analysis

Parallel achieves 70% accuracy on SEAL, benchmark for hard web research
parallel.ai·6h·
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The APM paradox
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Cursor's Composer-1 vs. Windsurf's SWE-1.5: The Rise of Vertical Coding Models
inkeep.com·4h·
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💻personal programming project explainers
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Help us benchmark Hephaestus on SWEBench-Verified! Watch AI agents solve real bugs + get credited in our report
reddit.com·16h·
Discuss: r/LocalLLaMA
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What does OSWorld tell us about AI's ability to use computers?
epoch.ai·3h·
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We found embedding indexing bottleneck in the least expected place: JSON parsing
nixiesearch.substack.com·1d·
Discuss: Substack
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Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes
github.com·3h·
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🤖AI
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·8h·
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performance optimization
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Automating error analysis for AI agents – what works and doesn't
atla-ai.com·15h·
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🔧technical deep dives
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Porting Lean to the ESP32-C3 RISC-V Microcontroller
kuruczgy.com·34m·
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Speeding up JavaScript test time 1000x
kevin.burke.dev·1d·
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Lazy loading isn't the magic pill to fix AI Inference
tensorfuse-docs.mintlify.dev·11h·
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performance optimization
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From Signals to Reliability: SLOs, Runbooks and Post-Mortems
fatihkoc.net·1d·
performance optimization
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Enabling Trillion-Parameter Models on AWS EFA
research.perplexity.ai·1h·
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.io·10h·
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Real-time stock volatility prediction with deep learning on a time-series DB
medium.com·17h·
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🔧technical deep dives
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I Chose to Focus on Data Systems Instead of Application Programming
alexnemethdata.com·8h·
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🔧technical deep dives
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Benchmarking The AMD EPYC 9V64H: Azure HBv5's Custom AMD CPU With HBM3
phoronix.com·6h·
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performance optimization
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Scaling up Prime Video monitoring service reduced costs 90% (archive) (2023)
web.archive.org·1d·
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The 6-Step Guide to Acing Your Coding Interview
yasminteles.com·12h·
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💻personal programming project explainers
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