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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. sync) pattern, which automatically waits for the completion of asynchronous jobs.

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Good old-fashioned AI remains viable in spite of the rise of LLMs

TechCrunch

Remember a year ago, all the way back to last November before we knew about ChatGPT, when machine learning was all about building models to solve for a single task like loan approvals or fraud protection? That approach seemed to go out the window with the rise of generalized LLMs, but the fact is generalized […] © 2023 TechCrunch.

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Overcoming the 6 barriers to IT modernization

CIO

For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS). Also communicating clearly how the debt impacts business strategy and goals in an executive-friendly fashion is key.

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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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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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Equity Monday: Crypto’s awful weekend, Apple v. Epic, and funding rounds galore

TechCrunch

After a somewhat quiet weekend, things are kicking off in rapid-fire fashion this week. This is Equity Monday, our weekly kickoff that tracks the latest private market news, talks about the coming week, digs into some recent funding rounds and mulls over a larger theme or narrative from the private markets.

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