Rapid Development of Compositional AI
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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.
Builds on
2 of 30 references.
References · 2
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,332
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Citing papers per year: 2024: 1.
1 paper.