This AI Paper from China Introduces Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization

There has been a recent uptick in the development of general-purpose multimodal AI assistants capable of following visual and written directions, thanks to the remarkable success of Large Language Models (LLMs). By utilizing the impressive reasoning capabilities of LLMs and information found in huge alignment corpus (such as image-text pairs), they demonstrate the immense potential […]

The post This AI Paper from China Introduces Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization appeared first on MarkTechPost.

ai assistants ai paper ai shorts alignment applications artificial intelligence assistants capabilities china computer vision development editors pick found general information language language models large language large language models llms motional multimodal multimodal ai paper pre-training reasoning staff success tech news technology tokenization training video visual