Opportunistically Parallel Lambda Calculus
dl.acm.org·22h·
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🔗Functional Compilers
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zFLoRA: Zero-Latency Fused Low-Rank Adapters
arxiv.org·16h
🌀Brotli Internals
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Your AI Models Aren’t Slow, but Your Data Pipeline Might Be
thenewstack.io·2h
🌊Streaming Systems
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3 Minutes to Start Your Research in Nearest Neighbor Search
romanbikbulatov.bearblog.dev·2d·
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📏Range Queries
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A hitchhiker's guide to CUDA programming
seanzhang.me·1d·
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SIMD Vectorization
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Your Transformer is Secretly an EOT Solver
elonlit.com·15h·
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🧮Kolmogorov Complexity
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Enhancing Workflow Efficiency via Dynamic Task Prioritization & Adaptive Resource Allocation
dev.to·1d·
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🌊Stream Processing
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The Structure of Data
theprogrammersparadox.blogspot.com·53m·
🗂Data structures
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Computing High-Frequency Factors in Real Time for Quantitative Models
medium.com·1d·
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🌊Streaming Databases
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Stochastic computing
scottlocklin.wordpress.com·3h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
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How fast can an LLM go?
fergusfinn.com·1d·
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🎯Emulator Accuracy
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AI Experiments: Fast Inference with Groq and Third-Party Tools with Kimi K2 in TypingMind
macstories.net·1d
🌀Brotli Dictionary
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From Lossy to Lossless Reasoning
manidoraisamy.com·2h·
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🔨Compilers
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Java Generics and Collections • Maurice Naftalin & Stuart Marks • GOTO 2025
youtube.com·1d
λLambda Formalization
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Challenging the Fastest OSS Workflow Engine
obeli.sk·11h·
🔄Sync Engine
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Show HN: Hot or Slop – Visual Turing test on how well humans detect AI images
hotorslop.com·17h·
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📊Learned Metrics
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Vectorizing for Fun and Performance
ibm.com·2d·
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SIMD Vectorization
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The Machine Learning Projects Employers Want to See
towardsdatascience.com·6h
🎵Audio ML
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Show HN: Everything it took to run an LLM at 10k tok/s on H200s
relace.ai·2d·
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📏Code Metrics
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