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Nvidia just released ChronoEdit-14B on Hugging Face enables physics-aware image editing and action-conditioned world simulation through temporal reasoning. It distills priors from a 14B-parameter pretrained video generative model and separates inference into (i) a video reasoning stage for latent trajectory denoising, and (ii) an in-context editing stage for pruning trajectory tokens. ChronoEdit-14B was developed by NVIDIA as part of the ChronoEdit family of multimodal foundation models
model: https://t.co/Rra27kGLlu
RT @raycat2021: 亚马逊业绩良好，为什么还要裁员？ 我们需要记住的是，那些“更快创新”的公司，即使员工人数减少，也能以更高的生产力创造强劲的盈利。 标普成分公司中盈利超预期的公司数量、超预期的幅度均高于十年平均水平。 原因不难理解。自动化技术不断进步，速度更快、成…
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meta还开始发债了？完蛋
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RT @whoiskatrin: 🎈 we just shipped WebSockets support for @Cloudflare Sandboxes no more talking into the void! your code inside the sa…
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RT @_lewtun: We've just published the Smol Training Playbook: a distillation of hard earned knowledge to share exactly what it takes to tra…
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