The Real Cost of LLM Inference: Memory Bandwidth, Not FLOPs
๐พCache-Oblivious Algorithms
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September 2024 Progress in Guaranteed Safe AI
lesswrong.comยท2d
๐Standard ML
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10000
jro.sgยท18h
๐ฆExecutable Size
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How LLM Inference Works
arpitbhayani.meยท1d
๐Tokenizer Performance
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Discovering physical laws with parallel symbolic enumeration
nature.comยท1d
๐ML Language
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Arc Is a Vision Problem
๐ฑMinimal ML
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The Machine Learning Roadmap
๐ฑMinimal ML
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A sample-efficient transfer learning framework for industrial remaining useful life prediction leveraging large language models
sciencedirect.comยท17h
๐ชRecursive Descent
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Multi-Core Architecture Optimized For Time-Predictable Neural Network Inference (FZI, KIT)
semiengineering.comยท1d
๐ฎCPU Branch Prediction
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Fine-tuning & RAG Strategy for Academic Research ( I Need a Sanity Check on Model Choice)
๐กErlang BEAM
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Zoomer: Powering AI Performance at Metaโs Scale Through Intelligent Debugging and Optimization
engineering.fb.comยท1d
๐Performance Tools
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The Engineering Guide to Efficient LLM Inference: Metrics, Memory, and Mathematics
pub.towardsai.netยท2d
โกTokenizer Optimization
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Apple Machine Learning Research at NeurIPS 2025
machinelearning.apple.comยท2d
โจEffect Inference
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<p>**Abstract:** This paper introduces a novel approach to constructing minimal polynomials for matrices within numerical linear algebra using reinforcement lea...
freederia.comยท23h
๐งฉConstraint Solvers
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On Thread Synchronization : Part 1 - A deep dive into mutexes
๐Concurrency Primitives
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AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers
arxiv.orgยท2d
๐JSON Parsing
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Trying Out C++26 Executors
๐ฎSpeculative Execution
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