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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 94
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Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel

AWS Machine Learning

Amazon has introduced two new creative content generation models on Amazon Bedrock : Amazon Nova Canvas for image generation and Amazon Nova Reel for video creation. Solution overview To get started with Nova Canvas and Nova Reel, you can either use the Image/Video Playground on the Amazon Bedrock console or access the models through APIs.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 130
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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

The Amazon Nova family of models includes Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, which support text, image, and video inputs while generating text-based outputs. Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. get("message", {}).get("content")

Benchmark 103
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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 84
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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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Implement serverless semantic search of image and live video with Amazon Titan Multimodal Embeddings

AWS Machine Learning

In today’s data-driven world, industries across various sectors are accumulating massive amounts of video data through cameras installed in their warehouses, clinics, roads, metro stations, stores, factories, or even private facilities. It enables real-time video ingestion, storage, encoding, and streaming across devices.

APIs 112