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

AWS Machine Learning - AI

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The user signs in by entering a user name and a password.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions.

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Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

AWS Machine Learning - AI

To solve this problem, this post shows you how to predict domain-specific product attributes from product images by fine-tuning a VLM on a fashion dataset using Amazon SageMaker , and then using Amazon Bedrock to generate product descriptions using the predicted attributes as input. For details, see Creating an AWS account.

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Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents

AWS Machine Learning - AI

For example, in the fashion retail industry, an assistant powered by agents and multimodal models can provide customers with a personalized and immersive experience. In this post, we implement a fashion assistant agent using Amazon Bedrock Agents and the Amazon Titan family models.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Many customers, including those in creative advertising, media and entertainment, ecommerce, and fashion, often need to change the background in a large number of images. However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Invokes the Amazon Bedrock InvokeModel API action.

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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Apache Ozone caters to both these storage use cases across a wide variety of industry verticals, some of which include: . Diversity of workloads. release version.

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Netflix at AWS re:Invent 2019

Netflix Tech

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

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