This AI Paper from China Introduces Emu2: A 37 Billion Parameter Multimodal Model Redefining Task Solving and Adaptive Reasoning

Any activity that requires comprehension and production in one or more modalities is considered a multimodal task; these activities can be extremely varied and lengthy. It is challenging to scale previous multimodal systems because they rely heavily on gathering a large supervised training set and developing task-specific architecture, which must be repeated for every new […]

The post This AI Paper from China Introduces Emu2: A 37 Billion Parameter Multimodal Model Redefining Task Solving and Adaptive Reasoning appeared first on …

ai paper ai shorts applications artificial intelligence billion china computer vision editors pick generative-ai language model machine learning multimodal multimodal model multimodal systems paper production reasoning scale staff systems tech news technology