Build a multi-functional chatbot with Amazon SageMaker JumpStart

Join this session as we show how to leverage the foundation models provided by Amazon SageMaker JumpStart to build a multi-functional chatbot. We walk through how to build chatbot which can generate both images and texts, by deploying two types of FMs; text-to-image model and text-to-text generation models, which are provided by Amazon SageMaker JumpStart. Learn how to use these similar steps to build your own applications powered by generative AI with AWS to transform your customer experience.
Speaker: Melanie Li, PhD, Senior AIML Specialist Technical Account Manager, AWS

Build a multi-functional chatbot with Amazon SageMaker JumpStart

Opening Keynote - Accelerate modern applications Manage less. Build faster. Innovate more

Closing Keynote - Accelerate rapid innovation with modern applications

Reimagine your applications with the most secure, performant and innovative cloud

Modernization with containers and serverless technologies

Architecting for success with modern applications on AWS

Cost optimization in modern applications

Accelerating DevOps: Leveraging AWS tooling for Automation and CI/CD

Deploy Infrastructure as a Code on AWS

Observability for builders

Move containerized applications to AWS

Jumpstart your Amazon ECS solution blueprints

Accelerate your deployment of web applications and API services on AWS App Runner

Build, run, and manage containerized application on AWS Fargate

Accelerate Kubernetes adoption journey with Amazon EKS Blueprints

High availability and resiliency design for your Amazon EKS workloads

Karpenter: Just-in-time nodes for your Amazon EKS Clusters

Break barriers to Kubernetes with Red Hat OpenShift Service on AWS (ROSA)

Decoding modern architectures: where serverless meets microservices and monoliths

Composing integration patterns in serverless microservices

Building event-driven architectures on AWS