Rapid Development of Compositional AI

Lee Martie, Jessie Rosenberg, Véronique Demers, Gaoyuan Zhang, Onkar Bhardwaj, John Henning, Aditya Prasad, Matt Stallone, Ja Young Lee, Lucy Yip, D. Adesina, Elahe Paikari, Oscar Resendiz, Sarah Shaw, David Cox
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Abstract

Compositional AI systems, which combine multiple artificial intelligence components together with other application components to solve a larger problem, have no known pattern of development and are often approached in a bespoke and ad hoc style. This makes development slower and harder to reuse for future applications. To support the full rapid development cycle of compositional AI applications, we have developed a novel framework called (Bee)* (written as a regular expression and pronounced as "beestar"). We illustrate how (Bee)* supports building integrated, scalable, and interactive compositional AI applications with a simplified developer experience.
快速发展的合成人工智能
组合AI系统,将多个人工智能组件与其他应用程序组件结合在一起以解决更大的问题,没有已知的开发模式,并且通常以定制和特别的风格进行处理。这使得开发速度变慢,并且难以在未来的应用程序中重用。为了支持合成AI应用程序的完整快速开发周期,我们开发了一个名为(Bee)*的新框架(以正则表达式形式编写,发音为“beestar”)。我们演示了(Bee)*如何支持构建集成的、可扩展的、交互式的合成人工智能应用程序,并简化了开发人员的体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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