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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

Building on the concept of dynamically fetching up-to-date data to produce personalized content, the use of LLMs has garnered significant attention in recent research for recommender systems. In summary, intelligent agents could construct prompts using user- and item-related data and deliver customized natural language responses to users.

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Top Customer Success Courses and Training that every CSM needs in 2022

CustomerSuccessBox

Learn and apply basic statistical tools to solve real-world Customer Success problems Track churn accurately Measure and interpret NPS and CSAT in new ways Construct predictive customer health scores Increase forecasting accuracy Improve business results. Manage your Tasks Manage your Alerts Track Product Adoption for Accounts and much more.

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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. A recent initiative is to simplify the difficulty of constructing search expressions by autofilling patent search queries using state-of-the-art text generation models. client('sts').get_caller_identity()['Account']

APIs 67
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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker. With some customization, you can implement this same encryption process for different model types and frameworks, independent of the training data.

Scripts 96
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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

How to use MLflow as a centralized repository in a multi-account setup. Prerequisites Before deploying the solution, make sure you have access to an AWS account with admin permissions. AWS CDK constructs are the building blocks of AWS CDK applications, representing the blueprint to define cloud architectures.

APIs 71