Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
arxiv.org·3h
💻Local LLMs
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Modern Perfect Hashing
🧪Binary Fuzzing
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An intro to the Tensor Economics blog
💻Local LLMs
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The Machine Learning Lessons I’ve Learned This Month
towardsdatascience.com·12h
🚀SIMD Text Processing
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Stock Market Shark: More Multidimensional DP
mmhaskell.com·22h
🔗Constraint Handling
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10-26-building-the-rope-operation-for-tensorrent-hardware at Clehaxze
clehaxze.tw·22h
⚡SIMD Vectorization
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A moonlit week
λLambda Encodings
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Linearized Optimal Transport for Analysis of High-Dimensional Point-Cloud and Single-Cell Data
arxiv.org·3h
📐Vector Dimensionality
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AI for Generating 2D Animations
🎯Emulator Accuracy
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Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
arxiv.org·3h
🧠Machine Learning
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On-Policy Distillation
💻Local LLMs
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Amortized Active Generation of Pareto Sets
arxiv.org·1d
🔲Cellular Automata
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Improved Training Technique for Shortcut Models
arxiv.org·1d
📊Learned Metrics
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PMPP-Eval Journey
🔍Concolic Testing
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Dynamic Decisions: Making Memory-Efficient AI a Reality with Differentiable Algorithms by Arvind Sundararajan
⚡Incremental Computation
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ashishps1/awesome-system-design-resources
github.com·2d
📡Network Protocol Design
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