AWS Serverless and GenAI Experience
On Demand
Generative AI (GenAI) creates new and exciting opportunities for application development. However, it also introduces challenges in how developers build application architecture to meet the diverse needs of AI. Developers need efficient and cost-effective ways to develop and ultimately, utilize Generative AI. Navigating the complexities of GenAI is made simpler with serverless technologies and event-driven approaches to Large Language Models (LLMs).
Join us for a one-of-a-kind Serverless and GenAI experience presented by AWS, where you’ll have the opportunity to choose your own adventure. We will break into smaller groups to focus on specific areas of interest, allowing for more in-depth conversations. Breakout sessions will feature AWS serverless experts sharing insights, serverless and event-driven patterns for GenAI, and an interactive demo.
Room #1 Serverless and Event-Driven Patterns for Generative AI: Join Uma Ramadoss and Dhiraj Mahapatro as they introduce several serverless and event-driven architectural patterns that are helping developers build GenAI solutions quickly and effectively on AWS at scale. By the end of the session, you will have a variety of architectural pattern options for developing and utilizing Generative AI to cater to different business use cases.
Room #2 Interactive Demo - Building a Domain-Driven GenAI Chatbot with Serverless Architecture: Join Eric Johnson as he explores building a domain-driven, scalable, and secure GenAI chatbot using AWS serverless services. Learn how to implement Retrieval-Augmented Generation (RAG) for enhanced responses, manage chat history efficiently, select the right tools and integrate them seamlessly. The session will focus on using AWS services to build a scalable and cost-effective chatbot, ensuring data privacy and secure access. Gain insights into creating advanced, secure, and cost-effective serverless GenAI chatbots with enhanced capabilities.
Register today to join AWS and learn about GenAI trends within the serverless landscape.
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