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Alexa, Make My Database Smart!

Dataversity

Click to learn more about author Marco Riva. In recent years, smart speakers like Amazon Alexa, Google Home, and Apple HomePod have increased their market share, and according to the forecast, their popularity will continue to grow. Lots of people have one or more of these speakers at home, and they are used for different […].

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SoundStorm: Efficient parallel audio generation

Google Research AI blog

Posted by Zalán Borsos, Research Software Engineer, and Marco Tagliasacchi, Senior Staff Research Scientist, Google Research The recent progress in generative AI unlocked the possibility of creating new content in several different domains, including text, vision and audio.

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Mixtral 8x22B is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Refer to the following resources for more information: Open and use JumpStart in Studio Get Started with Amazon SageMaker JumpStart About the Authors Marco Punio is a Solutions Architect focused on generative AI strategy, applied AI solutions, and conducting research to help customers hyper-scale on AWS.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

About the Authors Niithiyn Vijeaswaran is a Solutions Architect at AWS. Marco Punio is a Solutions Architect focused on generative AI strategy, applied AI solutions and conducting research to help customers hyper-scale on AWS. To get started deploying this solution, navigate to the notebook in the GitHub repo.

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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning Blog

About the authors Marco Punio is a Solutions Architect focused on generative AI strategy, applied AI solutions and conducting research to help customers hyperscale on AWS. Marco is based in Seattle, WA and enjoys writing, reading, exercising, and building applications in his free time.

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How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

AWS Machine Learning Blog

This is a guest blog post co-written with Hussain Jagirdar from Games24x7. sagemaker", role=role, base_job_name="Training-Marco-model", py_version=training_py_version, metric_definitions=[ {'Name': 'iteration', 'Regex': 'Iteration=(.*?);'}, {'Name': 'Discriminator_Supervised_Loss=', 'Regex': 'Discriminator_Supervised_Loss=(.*?)

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Is your model good? A deep dive into Amazon SageMaker Canvas advanced metrics

AWS Machine Learning Blog

Indrajit speaks regularly at AWS public events like summits and ASEAN workshops, has published several AWS blog posts, and developed customer-facing technical workshops focused on data and machine learning on AWS. Machine Learning Solutions Architect based in Florida, US.

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