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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. FloTorch used these queries and their ground truth answers to create a subset benchmark dataset. will not give you the correct answer (one Grammy).

Benchmark 112
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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach.

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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 120
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Speed up your AI inference workloads with new NVIDIA-powered capabilities in Amazon SageMaker

AWS Machine Learning

This integration provides a powerful multilingual model that excels in reasoning benchmarks. on benchmarks like XCOPA and TyDiQA, highlighting its versatility and efficiency. Customers can use G6e instances to deploy LLMs and diffusion models for generating images, video, and audio. G6e instances deliver up to 2.5

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

Learn how to harness the power of AWS AI chips to create intelligent systems that understand and process text, images, and video. Reserve your seat now AIM405: Learn to securely invoke Amazon Q Business Chat API December Wednesday 4 | 2:30 PM – 3:30 PM Join this code talk to learn how to use the Amazon Q Business identity-aware ChatSync API.

APIs 108
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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning

An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. In this scenario, each category or data source would be defined as a ‘tool’ within the API, enabling the model to select and use these tools as needed.

APIs 118
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Learn how Amazon Ads created a generative AI-powered image generation capability using Amazon SageMaker

AWS Machine Learning

Acting as a model hub, JumpStart provided a large selection of foundation models and the team quickly ran their benchmarks on candidate models. Regarding the inference, customers using Amazon Ads now have a new API to receive these generated images. The Amazon API Gateway receives the PUT request (step 1).