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Large Scale Generative AI Text Applied to Sports and Music
Feb. 27, 2024, 5:49 a.m. | Aaron Baughman, Stephen Hammer, Rahul Agarwal, Gozde Akay, Eduardo Morales, Tony Johnson, Leonid Karlinsky, Rogerio Feris
cs.CL updates on arXiv.org arxiv.org
Abstract: We address the problem of scaling up the production of media content, including commentary and personalized news stories, for large-scale sports and music events worldwide. Our approach relies on generative AI models to transform a large volume of multimodal data (e.g., videos, articles, real-time scoring feeds, statistics, and fact sheets) into coherent and fluent text. Based on this approach, we introduce, for the first time, an AI commentary system, which was deployed to produce automated …
abstract ai models ai text articles arxiv commentary cs.ai cs.cl data events generative generative ai models media multimodal multimodal data music personalized production real-time scale scaling scaling up scoring sports stories text type videos
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