#tensors — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tensors, aggregated by home.social.
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🤔 Oh, another blog post claiming to solve all math problems with ✨tensors✨! 😴 Neural networks? Just some floating-point soup! 🍜 Let's reinvent the wheel by building a tensor library... from scratch... in C. Because that's exactly what the world needs. 🚀🙄
https://zserge.com/posts/tensor/ #mathproblems #tensors #neuralnetworks #programming #Clanguage #innovation #HackerNews #ngated -
🤔 Oh, another blog post claiming to solve all math problems with ✨tensors✨! 😴 Neural networks? Just some floating-point soup! 🍜 Let's reinvent the wheel by building a tensor library... from scratch... in C. Because that's exactly what the world needs. 🚀🙄
https://zserge.com/posts/tensor/ #mathproblems #tensors #neuralnetworks #programming #Clanguage #innovation #HackerNews #ngated -
🤔 Oh, another blog post claiming to solve all math problems with ✨tensors✨! 😴 Neural networks? Just some floating-point soup! 🍜 Let's reinvent the wheel by building a tensor library... from scratch... in C. Because that's exactly what the world needs. 🚀🙄
https://zserge.com/posts/tensor/ #mathproblems #tensors #neuralnetworks #programming #Clanguage #innovation #HackerNews #ngated -
🤔 Oh, another blog post claiming to solve all math problems with ✨tensors✨! 😴 Neural networks? Just some floating-point soup! 🍜 Let's reinvent the wheel by building a tensor library... from scratch... in C. Because that's exactly what the world needs. 🚀🙄
https://zserge.com/posts/tensor/ #mathproblems #tensors #neuralnetworks #programming #Clanguage #innovation #HackerNews #ngated -
🚀 Ah, the riveting world of "Actegories," where we discover that #tensors and monoidal categories are the life of the #Haskell party 🎉. Bartosz bravely dives into the depths of #programming #optics, hoping someone out there is excited about monoidal categories, because let's face it, this is the stuff of legends... or insomniacs. 🤓
https://bartoszmilewski.com/2026/06/30/actegories/ #Actegories #MonoidalCategories #HackerNews #ngated -
🚀 Ah, the riveting world of "Actegories," where we discover that #tensors and monoidal categories are the life of the #Haskell party 🎉. Bartosz bravely dives into the depths of #programming #optics, hoping someone out there is excited about monoidal categories, because let's face it, this is the stuff of legends... or insomniacs. 🤓
https://bartoszmilewski.com/2026/06/30/actegories/ #Actegories #MonoidalCategories #HackerNews #ngated -
🚀 Ah, the riveting world of "Actegories," where we discover that #tensors and monoidal categories are the life of the #Haskell party 🎉. Bartosz bravely dives into the depths of #programming #optics, hoping someone out there is excited about monoidal categories, because let's face it, this is the stuff of legends... or insomniacs. 🤓
https://bartoszmilewski.com/2026/06/30/actegories/ #Actegories #MonoidalCategories #HackerNews #ngated -
🚀 Ah, the riveting world of "Actegories," where we discover that #tensors and monoidal categories are the life of the #Haskell party 🎉. Bartosz bravely dives into the depths of #programming #optics, hoping someone out there is excited about monoidal categories, because let's face it, this is the stuff of legends... or insomniacs. 🤓
https://bartoszmilewski.com/2026/06/30/actegories/ #Actegories #MonoidalCategories #HackerNews #ngated -
How to Train Your First TensorFlow Model in PyCharm
#Python #Pycharm #Datascience #Tutorials #Tensorflow #Tensorshttps://blog.jetbrains.com/pycharm/2026/04/how-to-train-your-first-tensorflow-model/
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How to Train Your First TensorFlow Model in PyCharm
#Python #Pycharm #Datascience #Tutorials #Tensorflow #Tensorshttps://blog.jetbrains.com/pycharm/2026/04/how-to-train-your-first-tensorflow-model/
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How to Train Your First TensorFlow Model in PyCharm
#Python #Pycharm #Datascience #Tutorials #Tensorflow #Tensorshttps://blog.jetbrains.com/pycharm/2026/04/how-to-train-your-first-tensorflow-model/
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How to Train Your First TensorFlow Model in PyCharm
#Python #Pycharm #Datascience #Tutorials #Tensorflow #Tensorshttps://blog.jetbrains.com/pycharm/2026/04/how-to-train-your-first-tensorflow-model/
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Run a 1T parameter model on a 32gb Mac by streaming tensors from NVMe
#HackerNews #Run #a #1T #parameter #model #on #a #32gb #Mac #by #streaming #tensors #from #NVMe #https://github.com/t8/hypura #MachineLearning #Tensors #NVMe #Mac #Optimization
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Run a 1T parameter model on a 32gb Mac by streaming tensors from NVMe
#HackerNews #Run #a #1T #parameter #model #on #a #32gb #Mac #by #streaming #tensors #from #NVMe #https://github.com/t8/hypura #MachineLearning #Tensors #NVMe #Mac #Optimization
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Run a 1T parameter model on a 32gb Mac by streaming tensors from NVMe
#HackerNews #Run #a #1T #parameter #model #on #a #32gb #Mac #by #streaming #tensors #from #NVMe #https://github.com/t8/hypura #MachineLearning #Tensors #NVMe #Mac #Optimization
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Run a 1T parameter model on a 32gb Mac by streaming tensors from NVMe
#HackerNews #Run #a #1T #parameter #model #on #a #32gb #Mac #by #streaming #tensors #from #NVMe #https://github.com/t8/hypura #MachineLearning #Tensors #NVMe #Mac #Optimization
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The Tensor in the Haystack: Weightsquatting as a Supply-Chain Risk
By Javier Medina ( X / LinkedIn / Web) TL;DR Weightsquatting is artifact-level manipulation of model weights to bias dependency selection toward attacker-chosen targets during development workflows, turning model integrity into a supply-chain problem. We introduced minimal changes to the relevant token-space weights of 5 LLMs across 4 major families to bias them toward attacker-chosen package names using single-token substitutions (e.g., swapping pandas for valid dictionary words like […] -
1st Open-Sourced Neural Network Tensor Activation Visualization for GGUF Models??
https://github.com/3rdEyeVisuals/Spectra-Vis
Heavily stripped down version of my private flow. Open to questions, comments, and suggestions. This repo will be maintained and occasionally enhanced.
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All in on MatMul? Don’t Put All Your Tensors in One Basket!
https://www.sigarch.org/dont-put-all-your-tensors-in-one-basket-hardware-lottery/
#HackerNews #MatMul #Tensors #HardwareLottery #AIResearch #DataScience
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All in on MatMul? Don’t Put All Your Tensors in One Basket!
https://www.sigarch.org/dont-put-all-your-tensors-in-one-basket-hardware-lottery/
#HackerNews #MatMul #Tensors #HardwareLottery #AIResearch #DataScience
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All in on MatMul? Don’t Put All Your Tensors in One Basket!
https://www.sigarch.org/dont-put-all-your-tensors-in-one-basket-hardware-lottery/
#HackerNews #MatMul #Tensors #HardwareLottery #AIResearch #DataScience
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All in on MatMul? Don’t Put All Your Tensors in One Basket!
https://www.sigarch.org/dont-put-all-your-tensors-in-one-basket-hardware-lottery/
#HackerNews #MatMul #Tensors #HardwareLottery #AIResearch #DataScience
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Have a quick explanation of tensors, complete with visual aids.
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Have a quick explanation of tensors, complete with visual aids.
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Have a quick explanation of tensors, complete with visual aids.
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Learn how to slice, extract, and insert data in tensors using TensorFlow APIs—essential skills for efficient ML and NLP model development. https://hackernoon.com/tensor-slicing-and-data-insertion-made-easy-with-tensorflow #tensors
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Learn how to slice, extract, and insert data in tensors using TensorFlow APIs—essential skills for efficient ML and NLP model development. https://hackernoon.com/tensor-slicing-and-data-insertion-made-easy-with-tensorflow #tensors
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Learn how to slice, extract, and insert data in tensors using TensorFlow APIs—essential skills for efficient ML and NLP model development. https://hackernoon.com/tensor-slicing-and-data-insertion-made-easy-with-tensorflow #tensors
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Learn how to slice, extract, and insert data in tensors using TensorFlow APIs—essential skills for efficient ML and NLP model development. https://hackernoon.com/tensor-slicing-and-data-insertion-made-easy-with-tensorflow #tensors
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No Tension for Tensors? https://hackaday.com/2025/07/09/no-tension-for-tensors/ #Science #tensors #tensor #math
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No Tension for Tensors? https://hackaday.com/2025/07/09/no-tension-for-tensors/ #Science #tensors #tensor #math
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No Tension for Tensors? https://hackaday.com/2025/07/09/no-tension-for-tensors/ #Science #tensors #tensor #math
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This is an example of amortized complexity and Strassen's "asymptotic spectra" (nice monograph by Zuiddam & Wigderson: https://www.math.ias.edu/~avi/PUBLICATIONS/WigdersonZu_Final_Draft_Oct2023.pdf)
Strassen developed this to understand the #complexity of matrix multiplication and #tensors, but it turns out to also show up in a bunch of places:
- #Entropy
- #Quantum information
- Shannon capacity of graphs
- Communication complexity https://en.wikipedia.org/wiki/Communication_complexity#Information_Complexity
- Circuit complexity (Robere & Zuiddam https://eccc.weizmann.ac.il/report/2021/035)#math #probability #ComputationalComplexity #TCS #InformationTheory
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This is an example of amortized complexity and Strassen's "asymptotic spectra" (nice monograph by Zuiddam & Wigderson: https://www.math.ias.edu/~avi/PUBLICATIONS/WigdersonZu_Final_Draft_Oct2023.pdf)
Strassen developed this to understand the #complexity of matrix multiplication and #tensors, but it turns out to also show up in a bunch of places:
- #Entropy
- #Quantum information
- Shannon capacity of graphs
- Communication complexity https://en.wikipedia.org/wiki/Communication_complexity#Information_Complexity
- Circuit complexity (Robere & Zuiddam https://eccc.weizmann.ac.il/report/2021/035)#math #probability #ComputationalComplexity #TCS #InformationTheory
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This is an example of amortized complexity and Strassen's "asymptotic spectra" (nice monograph by Zuiddam & Wigderson: https://www.math.ias.edu/~avi/PUBLICATIONS/WigdersonZu_Final_Draft_Oct2023.pdf)
Strassen developed this to understand the #complexity of matrix multiplication and #tensors, but it turns out to also show up in a bunch of places:
- #Entropy
- #Quantum information
- Shannon capacity of graphs
- Communication complexity https://en.wikipedia.org/wiki/Communication_complexity#Information_Complexity
- Circuit complexity (Robere & Zuiddam https://eccc.weizmann.ac.il/report/2021/035)#math #probability #ComputationalComplexity #TCS #InformationTheory
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This is an example of amortized complexity and Strassen's "asymptotic spectra" (nice monograph by Zuiddam & Wigderson: https://www.math.ias.edu/~avi/PUBLICATIONS/WigdersonZu_Final_Draft_Oct2023.pdf)
Strassen developed this to understand the #complexity of matrix multiplication and #tensors, but it turns out to also show up in a bunch of places:
- #Entropy
- #Quantum information
- Shannon capacity of graphs
- Communication complexity https://en.wikipedia.org/wiki/Communication_complexity#Information_Complexity
- Circuit complexity (Robere & Zuiddam https://eccc.weizmann.ac.il/report/2021/035)#math #probability #ComputationalComplexity #TCS #InformationTheory
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There are two obstacles when you use #Assemblyscript and #Deno for #MachineLearning #ML and #SmallLanguageModels #SLM. 1. Assemblyscript works with linear memory and you have to flatten 3D #tensors and 2D #matrices into 1D #arrays for doing any matrix algebra. 2. Deno is a bit more complicated than Node.js when working with #WASM (#Webassemly) files. Here is how you do it. Webassembly makes NNUE models even faster in computation. This together with #WebGPU will become our future. #AI #javascript
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There are two obstacles when you use #Assemblyscript and #Deno for #MachineLearning #ML and #SmallLanguageModels #SLM. 1. Assemblyscript works with linear memory and you have to flatten 3D #tensors and 2D #matrices into 1D #arrays for doing any matrix algebra. 2. Deno is a bit more complicated than Node.js when working with #WASM (#Webassemly) files. Here is how you do it. Webassembly makes NNUE models even faster in computation. This together with #WebGPU will become our future. #AI #javascript
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There are two obstacles when you use #Assemblyscript and #Deno for #MachineLearning #ML and #SmallLanguageModels #SLM. 1. Assemblyscript works with linear memory and you have to flatten 3D #tensors and 2D #matrices into 1D #arrays for doing any matrix algebra. 2. Deno is a bit more complicated than Node.js when working with #WASM (#Webassemly) files. Here is how you do it. Webassembly makes NNUE models even faster in computation. This together with #WebGPU will become our future. #AI #javascript
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Ah, nothing screams "exciting" like a deep dive into #PyTorch internals! 🎉 Let's unravel the mysteries of #tensors, because who doesn't love a bedtime story about C codebases? 💤 Spoiler: it's as thrilling as watching paint dry, but with extra parentheses. 🤓
https://blog.ezyang.com/2019/05/pytorch-internals/ #CCodebase #DeepDive #TechHumor #ProgrammingInsights #HackerNews #ngated -
Ah, nothing screams "exciting" like a deep dive into #PyTorch internals! 🎉 Let's unravel the mysteries of #tensors, because who doesn't love a bedtime story about C codebases? 💤 Spoiler: it's as thrilling as watching paint dry, but with extra parentheses. 🤓
https://blog.ezyang.com/2019/05/pytorch-internals/ #CCodebase #DeepDive #TechHumor #ProgrammingInsights #HackerNews #ngated -
Ah, nothing screams "exciting" like a deep dive into #PyTorch internals! 🎉 Let's unravel the mysteries of #tensors, because who doesn't love a bedtime story about C codebases? 💤 Spoiler: it's as thrilling as watching paint dry, but with extra parentheses. 🤓
https://blog.ezyang.com/2019/05/pytorch-internals/ #CCodebase #DeepDive #TechHumor #ProgrammingInsights #HackerNews #ngated -
Ah, nothing screams "exciting" like a deep dive into #PyTorch internals! 🎉 Let's unravel the mysteries of #tensors, because who doesn't love a bedtime story about C codebases? 💤 Spoiler: it's as thrilling as watching paint dry, but with extra parentheses. 🤓
https://blog.ezyang.com/2019/05/pytorch-internals/ #CCodebase #DeepDive #TechHumor #ProgrammingInsights #HackerNews #ngated -
🌟 What are "Tensors," and why are they at the heart of machine learning and AI? 🤖
My first ever #DevBytes post, I break down how these multi-dimensional powerhouses shape the world of data representation, computation, and neural networks. Perfect for beginners and enthusiasts alike!
💻 Dive into it here: https://smsk.dev/?p=148Let me know your thoughts—I’d love to hear from you! 🚀
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🌟 What are "Tensors," and why are they at the heart of machine learning and AI? 🤖
My first ever #DevBytes post, I break down how these multi-dimensional powerhouses shape the world of data representation, computation, and neural networks. Perfect for beginners and enthusiasts alike!
💻 Dive into it here: https://smsk.dev/?p=148Let me know your thoughts—I’d love to hear from you! 🚀
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🚀 **Introducing DevBytes**: Quick, fun dives into software & hardware engineering!
I’m launching a new blog series that breaks down software concepts with bite-sized insights and hands-on tips. From **tensors in LLM models** 🧠 to quick coding fixes, there’s something for everyone.
Get ready to explore theories, best practices, and more—delivered in minutes.⏳
👉 Check it out here: https://smsk.dev/2025/02/14/introducing-devbytes-quick-dives-into-software-engineering/#DevBytes #SoftwareEngineering #CodingTips #Programming #HardwareEngineering #ai #LLM #Tensors #ShortFormLearning
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🚀 **Introducing DevBytes**: Quick, fun dives into software & hardware engineering!
I’m launching a new blog series that breaks down software concepts with bite-sized insights and hands-on tips. From **tensors in LLM models** 🧠 to quick coding fixes, there’s something for everyone.
Get ready to explore theories, best practices, and more—delivered in minutes.⏳
👉 Check it out here: https://smsk.dev/2025/02/14/introducing-devbytes-quick-dives-into-software-engineering/#DevBytes #SoftwareEngineering #CodingTips #Programming #HardwareEngineering #ai #LLM #Tensors #ShortFormLearning
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🚀 **Introducing DevBytes**: Quick, fun dives into software & hardware engineering!
I’m launching a new blog series that breaks down software concepts with bite-sized insights and hands-on tips. From **tensors in LLM models** 🧠 to quick coding fixes, there’s something for everyone.
Get ready to explore theories, best practices, and more—delivered in minutes.⏳
👉 Check it out here: https://smsk.dev/2025/02/14/introducing-devbytes-quick-dives-into-software-engineering/#DevBytes #SoftwareEngineering #CodingTips #Programming #HardwareEngineering #ai #LLM #Tensors #ShortFormLearning
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🚀 **Introducing DevBytes**: Quick, fun dives into software & hardware engineering!
I’m launching a new blog series that breaks down software concepts with bite-sized insights and hands-on tips. From **tensors in LLM models** 🧠 to quick coding fixes, there’s something for everyone.
Get ready to explore theories, best practices, and more—delivered in minutes.⏳
👉 Check it out here: https://smsk.dev/2025/02/14/introducing-devbytes-quick-dives-into-software-engineering/#DevBytes #SoftwareEngineering #CodingTips #Programming #HardwareEngineering #ai #LLM #Tensors #ShortFormLearning
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'Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery', by Zhen Qin, Michael B. Wakin, Zhihui Zhu.
http://jmlr.org/papers/v25/24-0029.html
#tensor #tensors #factorization -
'Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery', by Zhen Qin, Michael B. Wakin, Zhihui Zhu.
http://jmlr.org/papers/v25/24-0029.html
#tensor #tensors #factorization -
'Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery', by Zhen Qin, Michael B. Wakin, Zhihui Zhu.
http://jmlr.org/papers/v25/24-0029.html
#tensor #tensors #factorization -
'Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery', by Zhen Qin, Michael B. Wakin, Zhihui Zhu.
http://jmlr.org/papers/v25/24-0029.html
#tensor #tensors #factorization -
'A tensor factorization model of multilayer network interdependence', by Izabel Aguiar, Dane Taylor, Johan Ugander.
http://jmlr.org/papers/v25/23-0205.html
#tensors #tensor #multilayer -
'A tensor factorization model of multilayer network interdependence', by Izabel Aguiar, Dane Taylor, Johan Ugander.
http://jmlr.org/papers/v25/23-0205.html
#tensors #tensor #multilayer
