Generative Data Intelligence

Tag: notebooks

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process...

Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...

Why Copilot will only sort of run locally on AI PCs for now

Comment Microsoft's definition of what does and doesn't constitute an AI PC is taking shape. With the latest version of Windows, a dedicated Copilot...

Databricks claims its open source LLM outsmarts GPT-3.5

Analytics platform Databricks has launched an open source foundational large language model, hoping enterprises will opt to use its tools to jump on the...

What ‘Edge AI’ Means for Smartphones – Mass Tech Leadership Council

Shared by David Chapin and Shaylyn SullivanAs the adoption of generative artificial intelligence accelerates, more computing will be done in the hands of end...

Enable data sharing through federated learning: A policy approach for chief digital officers | Amazon Web Services

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. ...

Gemma is now available in Amazon SageMaker JumpStart  | Amazon Web Services

Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on...

Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points | Amazon Web Services

Advancements in artificial intelligence (AI) and machine learning (ML) are revolutionizing the financial industry for use cases such as fraud detection, credit worthiness assessment,...

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service | Amazon Web Services

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0...

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service | Amazon Web Services

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0...

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres...

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker | Amazon Web Services

This is a guest post written by Axfood AB.  In this post, we share how Axfood, a...

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