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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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How to decide between Amazon Rekognition image and video API for video moderation

AWS Machine Learning

In a recent survey, 79% of consumers stated they rely on user videos, comments, and reviews more than ever and 78% of them said that brands are responsible for moderating such content. Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged.

APIs 77
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Dynamic video content moderation and policy evaluation using AWS generative AI services

AWS Machine Learning

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Popular use cases Advertising tech companies own video content like ad creatives.

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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning

In this post, we demonstrate how to use enhanced video search capabilities by enabling semantic retrieval of videos based on text queries. Overall, we aim to improve video search through cutting-edge semantic matching, providing an efficient way to find videos relevant to your rich textual queries.

APIs 127
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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning

Audio and video segmentation provides a structured way to gather this detailed feedback, allowing models to learn through reinforcement learning from human feedback (RLHF) and supervised fine-tuning (SFT). The path to creating effective AI models for audio and video generation presents several distinct challenges.

APIs 59
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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 105
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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

AWS Machine Learning

Video generation has become the latest frontier in AI research, following the success of text-to-image models. This text-to-video API generates high-quality, realistic videos quickly from text and images. Luma AI’s recently launched Dream Machine represents a significant advancement in this field.

Scripts 118