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

2023-05-23 06:45:55
Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang

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.

Abstract (translated)

人工智能(AGI)需要对多种任务进行 comprehensive 理解和生成能力,涵盖了不同模式和功能的多方面任务。综合人工智能是接近AGI的一个重要方向,通过结合多个模型来解决复杂的多模式任务。然而,缺乏一个灵活、可组合的平台来促进高效、有效的模型组合和协调。在本文中,我们提出了 i-Code Studio,这是一个可配置和可组合的框架,用于综合人工智能。i-Code Studio 指挥多个预训练模型以无调整的方式执行复杂的多模式任务。 Instead of 简单的模型组合,i-Code Studio 提供了一个综合、灵活和可组合的环境,以开发人员快速、轻松地为特定需求构建最先进的服务和技术。i-Code Studio 在多种零次响应多模式任务中取得了令人印象深刻的结果,例如视频到文本检索、语音到语音翻译和视觉问答。我们还演示了如何使用 i-Code Studio 快速构建一个基于i-Code Studio的多模式代理,它能够对用户进行通信和个性化。

URL

https://arxiv.org/abs/2305.13738

PDF

https://arxiv.org/pdf/2305.13738.pdf


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