- How is a tensor product of two column vectors different from a Cartesian product? https://en.wikipedia.org/wiki/Matrix_multiplication#Outer_product 4 comments math
Linking pages
- Advancements in machine learning for machine learning – Google Research Blog https://blog.research.google/2023/12/advancements-in-machine-learning-for.html 151 comments
- An Interactive Intro to CRDTs | jakelazaroff.com https://jakelazaroff.com/words/an-interactive-intro-to-crdts/ 146 comments
- Matrix multiplication breakthrough could lead to faster, more efficient AI models | Ars Technica https://arstechnica.com/information-technology/2024/03/matrix-multiplication-breakthrough-could-lead-to-faster-more-efficient-ai-models/ 135 comments
- Optimizing a WebGPU Matmul Kernel for 1TFLOP+ Performance https://zanussbaum.substack.com/p/optimizing-a-webgpu-matmul-kernel 79 comments
- DeepMind breaks 50-year math record using AI; new record falls a week later | Ars Technica https://arstechnica.com/information-technology/2022/10/deepmind-breaks-50-year-math-record-using-ai-new-record-falls-a-week-later/ 52 comments
- Modular: AIâs compute fragmentation: what matrix multiplication teaches us https://www.modular.com/blog/ais-compute-fragmentation-what-matrix-multiplication-teaches-us 44 comments
- PEP 465 – A dedicated infix operator for matrix multiplication | peps.python.org http://www.python.org/dev/peps/pep-0465/ 41 comments
- Researchers upend AI status quo by eliminating matrix multiplication in LLMs | Ars Technica https://arstechnica.com/information-technology/2024/06/researchers-upend-ai-status-quo-by-eliminating-matrix-multiplication-in-llms/ 31 comments
- GitHub - lessthanoptimal/VectorPerformance https://github.com/lessthanoptimal/vectorperformance 30 comments
- Number theory explained from first principles https://explained-from-first-principles.com/number-theory/ 29 comments
- Techniques for Training Large Neural Networks https://openai.com/blog/techniques-for-training-large-neural-networks/ 23 comments
- Improving performance using WebAssembly SIMD Intrinsics | TechBlog https://jeromewu.github.io/improving-performance-using-webassembly-simd-intrinsics/ 9 comments
- Prerequisites and Prework | Machine Learning | Google for Developers https://developers.google.com/machine-learning/crash-course/prereqs-and-prework#prerequisites 8 comments
- Data Science Portfolios That Will Get You the Job – Dataquest https://www.dataquest.io/blog/build-a-data-science-portfolio/ 7 comments
- A Gentle Introduction to Erasure Codes https://www.akalin.com/intro-erasure-codes 7 comments
- Large language models, explained with a minimum of math and jargon https://www.understandingai.org/p/large-language-models-explained-with 6 comments
- What makes TPUs fine-tuned for deep learning? | Google Cloud Blog https://gweb-cloudblog-publish.appspot.com/products/ai-machine-learning/what-makes-tpus-fine-tuned-for-deep-learning/amp/ 5 comments
- GitHub - OneSparse/OneSparse: High Performance Sparse Linear Algebrea with Postgres and SuiteSparse https://github.com/OneSparse/OneSparse 3 comments
- Game Math 101, Writing your Own 2D Math in C++ | Randy Gaul’s Game Programming Blog https://randygaul.github.io/math/2022/09/18/Game-Math-101-Writing-your-Own-2D-Math-in-CPP.html 2 comments
- What Are Const Generics and How Are They Used in Rust? - Andrew Watson https://www.awwsmm.com/blog/what-are-const-generics-and-how-are-they-used-in-rust 2 comments
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