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|[[LLM in a flash: Efficient Large Language Model Inference with Limited Memory]] || 2023/12/12 || [[arxiv:2312.11514]]<br>[https://huggingface.co/papers/2312.11514 HuggingFace] || [[Natural Language Processing]] || [[Apple]] || || | |[[LLM in a flash: Efficient Large Language Model Inference with Limited Memory]] || 2023/12/12 || [[arxiv:2312.11514]]<br>[https://huggingface.co/papers/2312.11514 HuggingFace] || [[Natural Language Processing]] || [[Apple]] || || | ||
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|[[Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation]] || 2023/12/07 || [[arxiv:2311.17117]]<br>[https://humanaigc.github.io/animate-anyone/ Website]<br>[https://www.youtube.com/watch?v=8PCn5hLKNu4 Video]<br>[https://github.com/HumanAIGC/AnimateAnyone GitHub]<br>[https://www.alibabacloud.com/blog/quickly-set-up-a-virtual-clothes-try-on-services-with-pai_600484 Tutorial] || [[Computer Vision]] || [[Alibaba]] || [[Animate Anyone]] || | |||
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|[[MatterGen: a generative model for inorganic materials design]] || 2023/12/06 || [[arxiv:2312.03687]]<br>[https://twitter.com/xie_tian/status/1732798976779595968 Tweet] || [[Materials Science]] || [[Microsoft]] || [[MatterGen]] || | |[[MatterGen: a generative model for inorganic materials design]] || 2023/12/06 || [[arxiv:2312.03687]]<br>[https://twitter.com/xie_tian/status/1732798976779595968 Tweet] || [[Materials Science]] || [[Microsoft]] || [[MatterGen]] || |