Building Practical, Cost-Efficient GenAI Solutions Using Serverless
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Developers are implementing GenAI solutions rapidly to bring intelligent solutions to their customers. This introduces challenges in model selection, controlling costs, and data orchestration. This session evaluates the right level of AI/ML required for your solution, and using pay-as-you go services to help reduce cost. It demonstrates using serverless services to orchestrate large amounts of data to interact with a GenAI solution efficiently. After this session, you will have a practical understanding for approaching GenAI that you can take back to your team. The solution demonstrated in this session is a cost effective approach to using AI/ML, GenAI, and serverless to handle complex real world problems at scale.
Transcript
Developers are implementing GenAI solutions rapidly to bring intelligent solutions to their customers. This introduces challenges in model selection, controlling costs, and data orchestration. This session evaluates the right level of AI/ML required for your solution, and using pay-as-you go services to help reduce cost. It demonstrates using serverless services to orchestrate large amounts of data to interact with a GenAI solution efficiently.
After this session, you will have a practical understanding for approaching GenAI that you can take back to your team. The solution demonstrated in this session is a cost effective approach to using AI/ML, GenAI, and serverless to handle complex real world problems at scale.
About the speakers
Senior Solutions Architect for AI and ML at AWS