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 Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people. As these models increasingly enable assistive agents, it could
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Shared by Google AI Technology 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 Posted by Omar Benjelloun, Software Engineer, Google Research, and Peter Mattson, Software Engineer, Google Core ML and President, MLCommons Association Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or
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Shared by Google AI Technology March 6, 2024
Favorite I was recently invited to join hosts Adam Stacoviak and Jerod Santo on The Changelog podcast. The Changelog features deep technical reviews and conversations about the most recent news in the world of software, and this was the first time anyone from the OSI has appeared on the show.
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Shared by voicesofopensource March 5, 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 Posted by Kate Weber and Shannon Leon, Google Research, Quantum AI Team Today the 2024 March Meeting of the American Physical Society (APS) kicks off in Minneapolis, MN. A premier conference on topics ranging across physics and related fields, APS 2024 brings together researchers, students, and industry professionals to
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Shared by Google AI Technology March 4, 2024
Favorite A weekly summary of interesting threads on the forum. The results from the working groups are in The groups that analyzed OpenCV and Bloom have completed their work and the results of the votes have been published. We now have a full overview of the result of the four
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Shared by voicesofopensource 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