Serverless & Event-driven Patterns for GenAI • Uma Ramadoss & Dhiraj Mahapatro • GOTO 2023

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Learn how serverless and event-driven patterns can be used to build scalable and efficient Gen AI applications, integrating multiple models and services on AWS, and explore the benefits of this architecture for various industries and use cases.

Key takeaways
  • Serverless architecture is a good fit for Gen AI due to its scalable and cost-effective nature.
  • Foundation models are not inherently stateful, but can be used as assistants for service agents.
  • Event-driven patterns can be used to integrate multiple models and services, such as Lambda functions and SageMaker endpoints.
  • Serverless applications using Gen AI can leverage AWS services like Amazon API Gateway, Lambda functions, and EventBridge to build scalable and efficient workflows.
  • Event handlers can be used to process events and scale up or down as needed, and can be integrated with Step Functions to build complex workflows.
  • Foundation models can be used for tasks such as text summarization, question answering, and language translation.
  • Lambda functions can be used to process events and trigger actions, such as sending an email or updating a database.
  • Serverless applications using Gen AI can be used to build chatbots and conversational interfaces.
  • Event-driven patterns can be used to integrate multiple services and models, such as AWS IoT Core and Alexa.
  • The benefits of serverless architecture for Gen AI include scalability, cost-effectiveness, and ease of use.
  • Foundation models can be used to generate images, videos, and other multimedia content.
  • Event handlers can be used to process events and trigger actions, such as sending an email or updating a database.
  • Serverless applications using Gen AI can be used to build real-time analytics and monitoring systems.
  • The flexibility of Gen AI allows it to be used in a wide range of industries and applications.
  • Event-driven patterns can be used to integrate multiple services and models, such as AWS IoT Core and Alexa.
  • Serverless applications using Gen AI can be used to build life sciences applications, such as medical transcriptions and claims processing.
  • Foundation models can be used to generate code and other technical content.