i-Code Studio: A Configurable and Composable Framework for Integrative AI

Yuwei Fang; Mahmoud Khademi; Chenguang Zhu; Ziyi Yang; Reid Pryzant; Yichong Xu; Yao Qian; Takuya Yoshioka; Lu Yuan; Michael Zeng; Xuedong Huang

arXiv · 2305.13738

i-Code Studio: A Configurable and Composable Framework for Integrative AI

Yuwei Fang·Mahmoud Khademi·Chenguang Zhu·Ziyi Yang·Reid Pryzant·Yichong Xu·Yao Qian·Takuya Yoshioka·Lu Yuan·Michael Zeng·Xuedong Huang

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Abstract

Artificial General Intelligence (AGI) requires comprehensive understanding and generation capabilities for a variety of tasks spanning different modalities and functionalities. Integrative AI is one important direction to approach AGI, through combining multiple models to tackle complex multimodal tasks. However, there is a lack of a flexible and composable platform to facilitate efficient and effective model composition and coordination. In this paper, we propose the i-Code Studio, a configurable and composable framework for Integrative AI. The i-Code Studio orchestrates multiple pre-trained models in a finetuning-free fashion to conduct complex multimodal tasks. Instead of simple model composition, the i-Code Studio provides an integrative, flexible, and composable setting for developers to quickly and easily compose cutting-edge services and technologies tailored to their specific requirements. The i-Code Studio achieves impressive results on a variety of zero-shot multimodal tasks, such as video-to-text retrieval, speech-to-speech translation, and visual question answering. We also demonstrate how to quickly build a multimodal agent based on the i-Code Studio that can communicate and personalize for users.

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BibTeX RIS

Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang. 2023-05-23. i-Code Studio: A Configurable and Composable Framework for Integrative AI. https://arxiv.org/abs/2305.13738

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