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Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning Blog

Return item metadata in inference responses – The new recipes enable item metadata by default without extra charge, allowing you to return metadata such as genres, descriptions, and availability in inference responses. If you use Amazon Personalize with generative AI, you can also feed the metadata into prompts.

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Datasets at your fingertips in Google Search

Google Research AI blog

Posted by Natasha Noy, Research Scientist, and Omar Benjelloun, Software Engineer, Google Research Access to datasets is critical to many of today's endeavors across verticals and industries, whether scientific research, business analysis, or public policy.

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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning Blog

Amazon Personalize now enables you to return metadata in inference response to improve generative AI workflow Amazon Personalize now improves your generative AI workflow by enabling return item metadata as part of the inference output. Rishabh Agrawal is a Senior Software Engineer working on AI services at AWS.

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How to build a decision tree model in IBM Db2

IBM Journey to AI blog

Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model. Examples of metadata include depth of the tree, strategy for handling missing values, and the number of leaf nodes in the tree. Software engineering for machine learning: A case study. Amershi, S., Nagappan, N.,

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Secure your Amazon Kendra indexes with the ACL using a JWT shared secret key

AWS Machine Learning Blog

In the terminal with the AWS Command Line Interface (AWS CLI) or AWS CloudShell , run the following commands to upload the documents and metadata to the data source bucket: aws s3 cp s3://aws-ml-blog/artifacts/building-a-secure-search-application-with-access-controls-kendra/docs.zip. For Metadata files prefix folder location , enter Meta/.

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Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning Blog

Ethan Cumberland is an AI Research Engineer at ZOO Digital, where he works on using AI and Machine Learning as assistive technologies to improve workflows in speech, language, and localisation. in a code subdirectory. in a code subdirectory. in a code subdirectory. in a code subdirectory.

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A vision-language approach for foundational UI understanding

Google Research AI blog

Posted by Yang Li, Research Scientist, and Gang Li, Software Engineer, Google Research The computational understanding of user interfaces (UI) is a key step towards achieving intelligent UI behaviors. This metadata has given previous models advantages over their vision-only counterparts. their types, text content and positions).

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