arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2103.14033cs.LGcs.AI
收藏

一种新的企业众包AI模型方法

A Novel Methodology For Crowdsourcing AI Models in an Enterprise

IBM Research(IBM研究院)

Parthasarathy Suryanarayanan, Sundar Saranathan, Shilpa Mahatma, Divya Pathak

摘要:

人工智能的发展正在迅速推进,为行业与社区的合作带来了挑战和机遇。在这项工作中,我们提出了一种新的方法,旨在通过人工智能模型的众包来促进这种合作。具体来说,我们已经实现了一个系统和一个流程,任何组织都可以轻松地采用它来举办人工智能竞赛。该系统允许他们根据内部专有数据自动收集和评估提交的模型,并将其作为可重用服务纳入产品中。

英文摘要:

The evolution of AI is advancing rapidly, creating both challenges and opportunities for industry-community collaboration. In this work, we present a novel methodology aiming to facilitate this collaboration through crowdsourcing of AI models. Concretely, we have implemented a system and a process that any organization can easily adopt to host AI competitions. The system allows them to automatically harvest and evaluate the submitted models against in-house proprietary data and also to incorporate them as reusable services in a product.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑