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Foundation models (FMs), like LLMs, have shown impressive capabilities across many natural language tasks. However, directly utilizing these models for applications can present challenges. In this session, explore and compare methods for effectively adapting foundation models for your applications. Learn how to evaluate prompt engineering, which reformulates the task into natural language, and fine-tuning, which updates the models' parameters on new tasks and use cases. Explore the trade-offs between usability and resource requirements for each method. Learn how to productively use the capabilities of large models, and discover future improvements to their adaptability. Learn more about AWS re:Invent at https://go.aws/46iuzGv. Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. 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. #AWSreInvent #AWSreInvent2023