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Favorite Posted by Greg Blascovich and Eric Gomez, User Researchers, Google As companies settle into a new normal of hybrid and distributed work, remote communication technology remains critical for connecting and collaborating with colleagues. While this technology has improved, the core user experience often falls short: conversation can feel stilted,
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Shared by Google AI Technology April 6, 2023
Favorite Posted by Zi Wang and Kevin Swersky, Research Scientists, Google Research, Brain Team Bayesian optimization (BayesOpt) is a powerful tool widely used for global optimization tasks, such as hyperparameter tuning, protein engineering, synthetic chemistry, robot learning, and even baking cookies. BayesOpt is a great strategy for these problems because
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Favorite Container adoption is soaring, thanks to Open Source. The majority of projects and tools for container management in the cloud-native ecosystem are Open Source; one example is SlimToolkit, a tool supported by Slim.AI. SlimToolkit addresses one of the most critical issues in the cloud-native ecosystem today: container security. Today,
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Shared by voicesofopensource April 6, 2023
Favorite The size and complexity of large language models (LLMs) have exploded in the last few years. LLMs have demonstrated remarkable capabilities in learning the semantics of natural language and producing human-like responses. Many recent LLMs are fine-tuned with a powerful technique called instruction tuning, which helps the model perform
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Shared by AWS Machine Learning April 5, 2023
Favorite In his book The Book of Why, Judea Pearl advocates for teaching cause and effect principles to machines in order to enhance their intelligence. The accomplishments of deep learning are essentially just a type of curve fitting, whereas causality could be used to uncover interactions between the systems of
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Favorite Time series are sequences of data points that occur in successive order over some period of time. We often analyze these data points to make better business decisions or gain competitive advantages. An example is Shimamura Music, who used Amazon Forecast to improve shortage rates and increase business efficiency.
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Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Amazon
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Favorite Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Many publishers have a large library of stock images that they use for their articles. These images can be reused many times
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Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). We are excited to announce the launch of Amazon Kendra Featured Results. This new feature makes specific documents or content appear at the top of the search results page whenever a user issues a certain query. You
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Favorite The rise of text and semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by unified text and image can provide extra flexibility in search solutions. You can use both text and images as queries. For example, you have a folder
Read More Shared by AWS Machine Learning April 5, 2023