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English(EN) Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock

TwelveLabs 的 Pegasus 1.5 视频模型现已登陆 Amazon Bedrock

TwelveLabs 的 Pegasus 1.5 视频语言模型现已通过 Amazon Bedrock 访问,增强了视频分析能力。此更新模型可处理长达两小时的视频,提取结构化的、带时间戳的元数据,并支持带有参考图像的多模态提示。Pegasus 1.5 通过消除预索引的需求,可以直接从 Amazon S3 URI 或 base64 字符串进行处理,从而简化了视频内容分析。 AI

影响 通过使先进的视频语言模型可通过云平台访问来增强视频分析能力。

排序理由 现有模型在云平台上产品集成/可用性公告。

在 AWS Machine Learning Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

TwelveLabs 的 Pegasus 1.5 视频模型现已登陆 Amazon Bedrock

本文如何被排名

Signal score
25 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
现有模型在云平台上产品集成/可用性公告。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Ron Tal ·

    TwelveLabs 的 Pegasus 1.5 已在 Amazon Bedrock 上线

    TwelveLabs Pegasus 1.5 is now available in Amazon Bedrock. The video language model turns long-form video into structured, timestamped metadata: define the moments that matter and get every matching segment back as JSON, with new video segmentation, multimodal prompting with refe…