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Build an AI-Powered Valorant E-sports Manager with AWS Bedrock

Analytics Vidhya

AI is the future and there’s no doubt it will make headway into the entertainment and E-sports industries. Given the extreme competitiveness of E-sports, gamers would love an AI assistant or manager to build the most elite team with maximum edge.

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AWS re:Invent 2024: Next-Gen Innovations in AI, Cloud & Data

Analytics Vidhya

The AWS re:Invent 2024 event was packed with exciting updates in cloud computing, AI, and machine learning. AWS showed just how committed they are to helping developers, businesses, and startups thrive with cutting-edge tools.

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AWS takes on Nvidia and Amazon shares are loving it

Dataconomy

Amazon Web Services (AWS) announced the launch of a new AI supercomputer, Project Rainier, constructed from its proprietary Trainium chips, aiming to rival Nvidia’s dominance in the AI chip market. This supercomputer, which will be finalized by 2025, is poised to be one of the largest ever used for training AI models.

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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

Flipboard

By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. Each table represents a single data store.

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

AWS Machine Learning Blog

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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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning Blog

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

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Enhanced observability for AWS Trainium and AWS Inferentia with Datadog

AWS Machine Learning Blog

AWS AI chips, Trainium and Inferentia, enable you to build and deploy generative AI models at higher performance and lower cost. The Datadog dashboard offers a detailed view of your AWS AI chip (Trainium or Inferentia) performance, such as the number of instances, availability, and AWS Region.

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