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Learn how to scale training and inference of thousands of ML models using Amazon SageMaker, a fully managed platform that provides a robust and scalable infrastructure for building, training, and deploying ML models in a cost-effective manner.

Enhance AWS intelligent document processing by leveraging generative AI for efficient data classification, extraction, and analysis.

Exploring a career in iOS engineering while building a community and making connections in the industry.

The blogpost discusses Spotify's upcoming experimentation platform, Confidence, designed to enable experimentation at scale for software development teams.

Learn about the Monetization Engineering team at Pinterest, the opportunities in machine learning and data science, and the unique culture that sets Pinterest Engineering apart.

Introducing code referencing for GitHub Copilot with a code suggestion filter to detect matches with public code on GitHub.

Exploring the significance of implicit learning and its application in Duolingo lessons.

Unlocking enterprise AI value through data according to the Gartner Hype Cycle for AI 2023

Lambda Cloud introduces on-demand NVIDIA HGX H100 with 8x H100 SXM instances, allowing users to access more compute power for generative AI models.

The blogpost discusses the importance of data for realizing value from enterprise AI and presents 6 takeaways from the Gartner Hype Cycle for Artificial Intelligence, 2023.

Announcing new security controls and compliance certifications for Azure Databricks and AWS Databricks SQL Serverless.

Automate caption creation and search for images using generative AI and Amazon Kendra, an intelligent search service powered by machine learning (ML)