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|[[Dreamix: Video Diffusion Models are General Video Editors]] || 2023/02/03 ||[[arxiv:2302.01329]]<br>[https://dreamix-video-editing.github.io/ blog post] ||  || [[Google]] || [[Dreamix]]
|[[Dreamix: Video Diffusion Models are General Video Editors]] || 2023/02/03 ||[[arxiv:2302.01329]]<br>[https://dreamix-video-editing.github.io/ blog post] ||  || [[Google]] || [[Dreamix]] ||
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|[[FLAME: A small language model for spreadsheet formulas]] || 2023/01/31 ||[[arxiv:2301.13779]] ||  || [[Microsoft]] || [[FLAME]]
|[[FLAME: A small language model for spreadsheet formulas]] || 2023/01/31 ||[[arxiv:2301.13779]] ||  || [[Microsoft]] || [[FLAME]] ||
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|[[SingSong: Generating musical accompaniments from singing]] || 2023/01/30 ||[[arxiv:2301.12662]]<br>[https://storage.googleapis.com/sing-song/index.html blog post] || [[Audio]] ||  || [[SingSong]]
|[[SingSong: Generating musical accompaniments from singing]] || 2023/01/30 ||[[arxiv:2301.12662]]<br>[https://storage.googleapis.com/sing-song/index.html blog post] || [[Audio]] ||  || [[SingSong]] ||
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|[[MusicLM: Generating Music From Text]] || 2023/01/26 ||[[arxiv:2301.11325]]<br>[https://google-research.github.io/seanet/musiclm/examples/ blog post] || [[Audio]] || [[Google]] || [[MusicLM]]
|[[MusicLM: Generating Music From Text]] || 2023/01/26 ||[[arxiv:2301.11325]]<br>[https://google-research.github.io/seanet/musiclm/examples/ blog post] || [[Audio]] || [[Google]] || [[MusicLM]] ||
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|[[Mastering Diverse Domains through World Models (DreamerV3)]] || 2023/01/10 ||[[arxiv:2301.04104v1]]<br>[https://danijar.com/project/dreamerv3/ blogpost] ||  || [[DeepMind]] || [[DreamerV3]]
|[[Mastering Diverse Domains through World Models (DreamerV3)]] || 2023/01/10 ||[[arxiv:2301.04104v1]]<br>[https://danijar.com/project/dreamerv3/ blogpost] ||  || [[DeepMind]] || [[DreamerV3]] ||
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|[[Muse: Text-To-Image Generation via Masked Generative Transformers]] || 2023/01/02 ||[[arxiv:2301.00704]]<br>[https://muse-model.github.io/ blog post] || [[Computer Vision]] || [[Google]] || [[Muse]]
|[[Muse: Text-To-Image Generation via Masked Generative Transformers]] || 2023/01/02 ||[[arxiv:2301.00704]]<br>[https://muse-model.github.io/ blog post] || [[Computer Vision]] || [[Google]] || [[Muse]] ||
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|[[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model]] || 2022/11/09 || [[arxiv:2211.05100]]<br>[https://bigscience.huggingface.co/blog/bloom Blog Post] || [[Natural Language Processing]] || [[Hugging Face]] || [[BLOOM]] || Open source [[LLM]] that is a competitor to [[GPT-3]]
|[[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model]] || 2022/11/09 || [[arxiv:2211.05100]]<br>[https://bigscience.huggingface.co/blog/bloom Blog Post] || [[Natural Language Processing]] || [[Hugging Face]] || [[BLOOM]] || Open source [[LLM]] that is a competitor to [[GPT-3]]
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|[[Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Imagen)]] || 2022/05/23 || [[arxiv:2205.11487]]<br>[https://imagen.research.google/ Blog Post] || [[Computer Vision]] || [[Google]] || [[Imagen]]
|[[Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Imagen)]] || 2022/05/23 || [[arxiv:2205.11487]]<br>[https://imagen.research.google/ Blog Post] || [[Computer Vision]] || [[Google]] || [[Imagen]] ||
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|[[Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback]] || 2022/04/12 || [[arxiv:2204.05862]]<br>[https://github.com/anthropics/hh-rlhf GitHub] || [[Natural Language Processing]] || [[Anthropic]] || [[RLHF]] ([[Reinforcement Learning from Human Feedback]])
|[[Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback]] || 2022/04/12 || [[arxiv:2204.05862]]<br>[https://github.com/anthropics/hh-rlhf GitHub] || [[Natural Language Processing]] || [[Anthropic]] || [[RLHF]] ([[Reinforcement Learning from Human Feedback]]) ||
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|[[PaLM: Scaling Language Modeling with Pathways]] || 2022/04/05 || [[arxiv:2204.02311]]<br>[https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[PaLM]] ([[Pathways Language Model]])
|[[PaLM: Scaling Language Modeling with Pathways]] || 2022/04/05 || [[arxiv:2204.02311]]<br>[https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[PaLM]] ([[Pathways Language Model]]) ||
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|[[Constitutional AI: Harmlessness from AI Feedback]] || 2021/12/12 || [[arxiv:2212.08073]] || [[Natural Language Processing]] || [[Anthropic]] || [[Constitutional AI]], [[Claude]]
|[[Constitutional AI: Harmlessness from AI Feedback]] || 2021/12/12 || [[arxiv:2212.08073]] || [[Natural Language Processing]] || [[Anthropic]] || [[Constitutional AI]], [[Claude]] ||
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|[[Improving language models by retrieving from trillions of tokens (RETRO)]] || 2021/12/08 || [[arxiv:2112.04426]]<br>[https://www.deepmind.com/blog/improving-language-models-by-retrieving-from-trillions-of-tokens Blog post] || [[Natural Language Processing]] || [[OpenAI]] || [[RETRO]] ([[Retrieval Enhanced Transformer]])
|[[Improving language models by retrieving from trillions of tokens (RETRO)]] || 2021/12/08 || [[arxiv:2112.04426]]<br>[https://www.deepmind.com/blog/improving-language-models-by-retrieving-from-trillions-of-tokens Blog post] || [[Natural Language Processing]] || [[OpenAI]] || [[RETRO]] ([[Retrieval Enhanced Transformer]]) ||
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|[[InstructPix2Pix: Learning to Follow Image Editing Instructions]] || 2021/11/17 || [[arxiv:2211.09800]]<br>[https://www.timothybrooks.com/instruct-pix2pix Blog Post] || [[Computer Vision]] || [[UC Berkley]] || [[InstructPix2Pix]]
|[[InstructPix2Pix: Learning to Follow Image Editing Instructions]] || 2021/11/17 || [[arxiv:2211.09800]]<br>[https://www.timothybrooks.com/instruct-pix2pix Blog Post] || [[Computer Vision]] || [[UC Berkley]] || [[InstructPix2Pix]] ||
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|[[REALM: Retrieval-Augmented Language Model Pre-Training]] || 2020/02/10 || [[arxiv:2002.08909]]<br>[https://ai.googleblog.com/2020/08/realm-integrating-retrieval-into.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[REALM]] ([[Retrieval-Augmented Language Model Pre-Training]])
|[[REALM: Retrieval-Augmented Language Model Pre-Training]] || 2020/02/10 || [[arxiv:2002.08909]]<br>[https://ai.googleblog.com/2020/08/realm-integrating-retrieval-into.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[REALM]] ([[Retrieval-Augmented Language Model Pre-Training]]) ||
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