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康泰纳仕构建多模态视频发现系统

How Condé Nast built multimodal video discovery with Amazon Bedrock

精选理由

康泰纳仕用AWS工具把视频搜索时间从250分钟压缩到2分钟,效率提升125倍。

康泰纳仕编辑团队平均每项任务需花费250分钟在14万多个视频中搜索。他们与AWS生成式AI创新中心合作,在Amazon Bedrock和Amazon OpenSearch Service上构建了多模态视频发现解决方案。该系统将发现时间缩短至2分钟以内。

图片来源 · AWS Machine Learning Blog
原文 · AWS Machine Learning Blog

How Condé Nast built multimodal video discovery with Amazon Bedrock

Condé Nast's editorial teams spent an average of 250 minutes per task searching a library of more than 140,000 videos using only titles and descriptions. Working with the AWS Generative AI Innovation Center, they built a multimodal video discovery solution on Amazon Bedrock and Amazon OpenSearch Service that cut discovery time to under 2 minutes.