mlsanityData to 14 Oct 2026

Rapid Development of Compositional AI

arXiv 2302.05941 ↗First posted 12 Feb 2023cs.SE cs.AIcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 30 references that are in the map. First posted on arXiv 12 Feb 2023.

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2 of 30 references.

References · 2

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,332

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