In Generative AI Foundations on AWS part one, AWS Principal AI and Machine Learning Specialist Solutions Architect Emily Webber will introduce you to the concept of Foundation Models in generative AI. During this video, you will learn what large language models (LLMs) are, how they work, where they come from, and what other types of generative AI exist. You'll then learn the basics of foundation model customization and how to evaluate a generative model's performance. Finally, go hands-on for a walkthrough of foundation models by accessing the SageMaker Jumpstart notebook "text generation with Falcon" on GitHub: https://go.aws/3K2ojdI Learn more about generative AI on AWS: https://go.aws/3Q1ay2E Tune in to Build On Generative AI with host Emily Webber on twitch.tv/aws for even more tips and tricks: https://m.twitch.tv/videos/1723458659 Access the slides from this lesson to follow along: https://github.com/aws-samples/sagemaker-distributed-training-workshop/blob/main/slides/Generative%20AI%20Foundations%20Technical%20Deep%20Dive/1%20-%20Intro%20to%20FMs.pdf.zip Subscribe: More AWS videos: https://go.aws/3m5yEMW More AWS events videos: https://go.aws/3ZHq4BK Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb ABOUT AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster. #AWSMachineLearning #MachineLearningUniversity #MLU #LearnML #LearnMachineLearning #aiml #GenerativeAI #GPT