Accelerate ML innovation with Amazon SageMaker JumpStart

Learn how to use foundation models and built-in algorithms to accelerate ML innovation in your business. We’ll show how you can use Amazon SageMaker JumpStart to speed ML projects while supporting security, performance and managing costs. We’ll also show you how to use state of the art (SOTA) foundation models that are available in Amazon SageMaker JumpStart for text and image generation use cases. Finally, you’ll learn how builders can customize these foundation models and use them to power generative AI applications.

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Pre-training generative AI models at scale - Advanced optimization techniques
Pre-training generative AI models at scale - Advanced optimization techniques

This presentation covers large-scale model training using Amazon SageMaker on AWS, focusing on core concept...

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AWS Contact Center Intelligence powered by generative AI
AWS Contact Center Intelligence powered by generative AI

Dive into how AWS contact center Intelligence with large language models can revolutionize the customer sup...