Favorite Online gaming and social communities offer voice and text chat functionality for their users to communicate. Although voice and text chat often support friendly banter, it can also lead to problems such as hate speech, cyberbullying, harassment, and scams. Today, many companies rely solely on human moderators to review

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Shared by AWS Machine Learning March 13, 2024

Favorite Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on Google’s Gemini models, trained on up to 6 trillion tokens of text. The Gemma family consists of two sizes: a 7 billion parameter model and

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Shared by AWS Machine Learning March 13, 2024

Favorite This post is co-written with Justin Miles, Liv d’Aliberti, and Joe Kovba from Leidos.  Leidos is a Fortune 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. In this post, we discuss how Leidos

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Shared by AWS Machine Learning March 12, 2024

Favorite Advertisers, publishers, and advertising technology providers are actively seeking efficient ways to collaborate with their partners to generate insights about their collective datasets. One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and

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Shared by AWS Machine Learning March 12, 2024

Favorite VistaPrint, a Cimpress business, is the design and marketing partner to millions of small businesses around the world. For more than two decades, VistaPrint has empowered small businesses to quickly and effectively create the marketing products – from promotional materials and signage to print advertising and more – to

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Shared by AWS Machine Learning March 11, 2024

Favorite 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. Typically, this involves manually editing each image with photo software. This can take a lot of effort, especially for large batches of images. However,

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Shared by AWS Machine Learning March 7, 2024

Favorite In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. Proteins are the molecular machines of the body, responsible for everything from moving your muscles to responding to infections. Despite this variety, all proteins are made

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Shared by AWS Machine Learning March 6, 2024

Favorite Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications. Looking back

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Shared by AWS Machine Learning March 4, 2024

Favorite This post is co-written with Sherwin Chu from Alida. Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted

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Shared by AWS Machine Learning March 4, 2024

Favorite The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Self-service bots integrated

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Shared by AWS Machine Learning March 1, 2024