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AWS Developers | Machine Learning in 15: Getting Started With Generative AI Using Amazon SageMaker @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
Generative AI enables organizations to innovate faster as well as reinvent customer experiences and applications. In this session, we’ll discuss best practices to deploy open source large language models (LLMs) using Amazon SageMaker. We’ll also show you how easy it is to access TII’s Falcon 40B, the #1 LLM on the Hugging Face Open LLM leaderboard, via Amazon SageMaker JumpStart making it easier to build cutting-edge generative AI applications.

Learning Objectives:
* Objective 1: Learn about generative AI
* Objective 2: Understand best practices to deploy open source large language models (LLMs) using Amazon SageMaker
* Objective 3: Discover how to access LLMs such as TII's Falcon 40B via Amazon SageMaker JumpStart

***To learn more about the services featured in this talk, please visit: aws.amazon.com/sagemaker/jumpstart
****To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Machine-Learning-in-15-Getting-started-with-Generative-AI-using-Amazon-SageMaker_2023_SN-0812-MCL_OD Subscribe to AWS Online Tech Talks On AWS:
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Machine Learning in 15: Getting Started With Generative AI Using Amazon SageMaker @awsdevelopers

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