Explore methods for adapting foundation models (FMs) like Large Language Models (LLMs) in this technical conference session from AWS re:Invent 2023. Dive into effective techniques for customizing foundation models for specific applications using Amazon Bedrock, comparing approaches like prompt engineering and fine-tuning. Master the process of reformulating tasks into natural language through prompt engineering while understanding how to update model parameters for new use cases through fine-tuning. Analyze the balance between usability and resource requirements for different adaptation methods, gaining practical insights into leveraging large model capabilities effectively. Discover upcoming advancements in model adaptability and learn implementation strategies that optimize foundation model performance for various applications.