Breaking cross-modal boundaries in multimodal AI: Introducing CoDi, composable diffusion for any-to-any generation
0:18
MicrosoftBrenda Potts
Breaking cross-modal boundaries in multimodal AI: Introducing CoDi, composable diffusion for any-to-any generation
Composable Diffusion (CoDi) is a novel generative AI model that can process and simultaneously generate high-quality multimodal content spanning text, images, video, and audio. It’s a big step towards more engaging and holistic human-computer interactions.
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Multimodality in Education
Multimodality And Multimodal Literacy: What Are They And Why Are They Important In ELT? | OUP
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#Socialmedia’s visual communication challenges traditional text-based #education, highlighting the need to value #multimodality in schools. #iafor | The International Academic Forum (IAFOR)
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Moonshot finally released their new Kimi K2.5 now includes multimodality and agent swarm that can spawn up to 100 agents with 1500 tool calls. Kimi's new model here can replicate websites for vibe coders who want to just submit images or videos. This is yet another bold step in technology as Chinese frontier AI labs continue to innovate LLMs to compete, and now SOTA level models like Kimi is showing its strength with PARL or Parallel Agent Reinforcement Learning, and Critical Step to ensure that
4:46
Moonshot finally released their new Kimi K2.5 now includes multimodality and agent swarm that can spawn up to 100 agents with 1500 tool calls. Kimi's new model here can replicate websites for vibe coders who want to just submit images or videos. This is yet another bold step in technology as Chinese frontier AI labs continue to innovate LLMs to compete, and now SOTA level models like Kimi is showing its strength with PARL or Parallel Agent Reinforcement Learning, and Critical Step to ensure that
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