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|[[AudioLM: a Language Modeling Approach to Audio Generation]] || 2022/09/07 || [[arxiv:2209.03143]]<br>[https://google-research.github.io/seanet/audiolm/examples/ web page]<br>[https://ai.googleblog.com/2022/10/audiolm-language-modeling-approach-to.html blog post] || [[Audio]] || [[Google]] || [[AudioML]] || | |[[AudioLM: a Language Modeling Approach to Audio Generation]] || 2022/09/07 || [[arxiv:2209.03143]]<br>[https://google-research.github.io/seanet/audiolm/examples/ web page]<br>[https://ai.googleblog.com/2022/10/audiolm-language-modeling-approach-to.html blog post] || [[Audio]] || [[Google]] || [[AudioML]] || | ||
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|[[Emergent Abilities of Large Language Models]] || 2022/06/15 || [[arxiv:2206.07682]]<br>[https://ai.googleblog.com/2022/11/characterizing-emergent-phenomena-in.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[Emergent Abilities]] || | |||
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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]] || | ||