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Stories
Research1 мин

Optimization with Linear Programming (and the Simplex Algorithm), Main Ideas!!!

You start with nothing, then you move. And you keep on moving till you can't get any more, then you're [music] done. StatQuest, bam. Hello, I'm Josh Starmer and welcome to StatQuest. Today, we're going to talk about optimization with linear programming main ideas. Specifically,…

YouTube — StatQuest AI
Knowledge base1 мин

How (and why) to take a logarithm of an image

[Переведено AI. Отправляйте исправления на criblate.com] Каждый раз, когда я делаю одно из таких видео, иногда случается особый момент, когда сам процесс анимации сводится к решению целой кучи мелких технических головоломок, и потом математика, которую я пытаюсь объяснить, вдруг…

YouTube — 3Blue1Brown
Research1 мин

The Simplex Algorithm, Mathematical Details!!!

We're going to find the optimal solution one row at a time. Stack Quest. Hello, I'm Josh Starmer and welcome to Stat Quest. Today we're going to talk about the simplex algorithm and we're going to go through the mathematical details. This stack quest is brought to you by the…

YouTube — StatQuest AI
Knowledge base1 мин

The GELU, SiLU and SwiGLU activation functions, clearly explained!!!

Sometimes drop out is all you [music and singing] need. Hooray! StatQuest. Hello, I'm Josh Starmer and welcome to StatQuest. Today we're going to talk about the GELU, SELU, and SWIGLU activation functions and they're going to be clearly explained. This StatQuest is brought to…

YouTube — StatQuest AI
Knowledge base1 мин

Reinventing Entropy | Compression is Intelligence Part 1

[Submit subtitle corrections at criblate.com] When you encode text into binary, it's often nice to use as little data as possible, so you might naturally wonder, is there some kind of fundamental limit on how efficiently text can be compressed? The default encoding with ASCII is…

YouTube — Andrej Karpathy
Knowledge base1 мин

Operating Frontier Intelligence at Scale - Chris Aniszczyk & Xiao Zhang

Clearly like models are exciting. You know, as an engineer, I always love going playing with the latest model out there. There seems to be so many of them out there that you could choose from, which is great. And I'm happy to see there's a lot of open options out there. But I…

YouTube — PyTorch Official
Knowledge base1 мин

From Open Source Adoption To Open Source Innovation: China’s Next Chapter - Lu Shouqun

Jonathan Polasky, Samsung Tech, Samsung, Samsung, marker, Korean Samsung Tech, Samsung. CNCF, the learning path is open to many, the learning path, everything is pi-touch, the learning path, the layer of her, the jungle of the sun, her, you burn them. Becomes a call. Native color, come, open to layer,...

YouTube — PyTorch Official
Research1 мин

Optimizing Mixture of Experts LLM inference on ARM CPUs

Hi, I'm Majid from Intel Research India, and I'm excited to be speaking at PyTorch Conference North America this October. I'll be talking about efficient mixture of experts LLM inference on using VLLM and OpenVINO, and how we can efficiently run these models on ARM CPUs. If…

YouTube — PyTorch Official
Infrastructure1 мин

Integrating RCCL GPU-Initiated Networking into TorchTitan’s MoE Communication

Hi, I'm Rishi from AMD. Within distributed training, communication is one of the primary bottlenecks, and limiting the time spent on communication can massively boost end-to-end performance. We investigate this hypothesis by integrating work from the Rickle team to use…

YouTube — PyTorch Official
Research1 мин

What You Cannot Profile, You Cannot Optimize: Learning to Read PyTorch Traces

Hello, my name is Souvik and I work at hugging face. I'm going to be at the PyTorch conference 2026 and I will be talking about how you can get started with using the PyTorch profiler on your models. And how you can extract the maximum efficiency from them. Come join us on…

YouTube — PyTorch Official
Infrastructure1 мин

Extending TorchInductor with FlyDSL: A New MLIR-Native Backend for High-Performance GEMMs

Здравствуйте, я Лиз Ли из AMD. >> Здравствуйте, я Джек Хуай из AMD. >> Современные рабочие нагрузки ИИ зависят от растущего спектра специализированных ядер GPU, и ни один бэкенд генерации ядер не является оптимальным для всех форм операторов и архитектур. Мы исследуем эту…

YouTube — PyTorch Official
Research1 мин

PyTorch-Native LLM Serving on TPU: SGLang and vLLM

Hi, I'm G from Google. >> I'm Colin from Meta. >> I'm Angela from Meta. >> We are going to be speaking at the PyTorch conference San Jose about new VLM and SG learn engines built on a new PyTorch native TPU backend torch TPU. >> Rather than build a new serving engine or porting…

YouTube — PyTorch Official
Knowledge base1 мин

Making Weather Forecasts More Accurate

So we know the Earth is getting warmer. We understand climate change at a big picture, but we're struggling to predict the details of what that means for the Earth. NeuralGCM is a new kind of atmospheric model. We feel it has potential to transform how we understand climate.…

YouTube — Google Research
Knowledge base1 мин

Project Vaani

- In India, we've got 1,300+ languages. There's a saying here, every mile the taste of water changes and every four miles the language changes. - If you travel from one state to another, even one district to another district, you find it difficult to communicate. What will…

YouTube — Google Research