Summary of Vita: Towards Open-source Interactive Omni Multimodal Llm, by Chaoyou Fu et al.
VITA: Towards Open-Source Interactive Omni Multimodal LLM
by Chaoyou Fu, Haojia Lin, Zuwei Long, Yunhang Shen, Meng Zhao, Yifan Zhang, Shaoqi Dong, Xiong Wang, Di Yin, Long Ma, Xiawu Zheng, Ran He, Rongrong Ji, Yunsheng Wu, Caifeng Shan, Xing Sun
First submitted to arxiv on: 9 Aug 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed VITA model is an open-source Multimodal Large Language Model (MLLM) that can process and analyze video, image, text, and audio modalities simultaneously. Building upon the Mixtral 8x7B language foundation, VITA expands its Chinese vocabulary and undergoes bilingual instruction tuning. The model’s visual and audio capabilities are developed through two-stage multi-task learning of multimodal alignment and instruction tuning. VITA demonstrates strong performance across various unimodal and multimodal benchmarks, showcasing multilingual, vision, and audio understanding capabilities. Additionally, the model enables natural multimodal human-computer interaction experience enhancement. While still a pioneer in the open-source community, VITA serves as a foundation for subsequent research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary VITA is an exciting new language model that can understand and work with different types of data like video, images, text, and audio all at once. It’s designed to be open-source, which means anyone can use it and improve it. The team behind VITA started with a strong foundation in natural language processing and added more languages, visual, and audio capabilities. This allows the model to understand many types of data and even interact with humans in a more natural way. The results are impressive, with VITA performing well on various tasks that test its understanding of different modalities. |
Keywords
* Artificial intelligence * Alignment * Instruction tuning * Language model * Large language model * Multi task * Natural language processing
