📄 中文摘要
Amazon Bedrock 的多模态基础模型通过三种不同的架构方法实现了可扩展的视频理解。这些方法针对不同的应用场景，提供了不同的成本与性能权衡。每种架构都旨在满足特定需求，帮助用户在处理视频数据时获得更深入的洞察力。这些模型的灵活性和可扩展性使得企业能够在各种视频分析任务中实现高效的自动化和智能化。
通过 Amazon Bedrock 多模态模型大规模解锁视频洞察
出处: Unlocking video insights at scale with Amazon Bedrock multimodal models
发布: 2026年3月25日
📄 English Summary
Unlocking video insights at scale with Amazon Bedrock multimodal models
Amazon Bedrock's multimodal foundation models enable scalable video understanding through three distinct architectural approaches. Each approach is tailored for specific use cases, offering varying cost-performance trade-offs. The flexibility and scalability of these models empower users to gain deeper insights when processing video data. This capability allows businesses to achieve efficient automation and intelligence across various video analysis tasks, enhancing their operational effectiveness.