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MindSpore

MindSpore

@MindSporeOSS

Build a future-ready AI framework to create infinite possibilities over device, edge, and cloud scenarios. Join us to unleash the power of AI with MindSpore.

Katılım Aralık 2021
40 Takip Edilen5.6K Takipçiler
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MindSpore
MindSpore@MindSporeOSS·
#MindSpore 2.7 just landed! 🚀 We packed it with serious upgrades to your #AI toolbox: ❇️ ZeroBubbleV pipeline parallelism ❇️ vLLM V1 architecture support ❇️ Improved RL training & inference ❇️ Intelligent diagnosis tools Get the full scoop → mindspore.cn/news/detail/en…
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MindSpore
MindSpore@MindSporeOSS·
We previously touched on HyperParallel in #MindSpore 2.8 — what's behind its power? ☑️ Decoupled model and system optimization ☑️ End-to-end determinism ☑️ Unified training and inference ☑️ Dynamic-static integration Here's the breakdown⬇️ Explore more: atomgit.com/mindspore/hype…
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MindSpore
MindSpore@MindSporeOSS·
SuperPoD-as-a-computer? That's exactly what #MindSpore 2.8 delivers with #HyperParallel! HyperShard + HyperOffload + HyperMPMD = Next-level flexibility & efficiency for LLMs & beyond. Explore more at: #hypershard-programming-model-evolution-system-optimisation-embedded-in-model-%E2%86%92-decoupled-model-and-system-optimisation" target="_blank" rel="nofollow noopener">atomgit.com/mindspore/hype…
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MindSpore
MindSpore@MindSporeOSS·
Before the #model magic, there's the framework. 👀 Take a look at #MindSpore Overall Architecture—the engine behind model building and scientific computing 👇 Yes, even models like GLM-Image stand on it. 😉 #MindSpore101 #opensource #AI
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MindSpore retweetledi
Adina Yakup
Adina Yakup@AdinaYakup·
Another Chinese model fully trained on domestic chips, released by China Telecom 👀 TeleChat3-36B-Thinking: ✨ Native support for the Ascend + MindSpore ecosystem ✨ Inspired by DeepSeek’s architecture design, bringing training stability and efficiency gains. huggingface.co/Tele-AI/TeleCh…
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MindSpore retweetledi
Yicai 第一财经
Yicai 第一财经@yicaichina·
Zhipu AI today open-sourced its next-gen image generation model co-developed with Huawei. The GLM-Image, the first SOTA multimodal model trained entirely on domestic chips, was trained based on the Ascend Atlas 800T A2 devices and the MindSpore AI framework. It is particularly adept at Chinese character generation tasks, costing only 10 Chinese cents (1 US cent) per image. @Huawei
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