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Building generative AI applications with serverless and Amazon Bedrock

In the future, many applications will use AI and ML. With the transformative power of generative AI, this technology will become critical for many workloads. Using serverless to build generative AI applications is the fastest way to experiment and move to production. In this chalk talk, explore design patterns and see demos of how to build generative AI applications using Amazon Bedrock and AWS serverless services.

Amazon Bedrock

Introduction

The easiest way to build and scale generative AI applications with foundation models.

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Amazon Bedrock introduction

Introduction to Amazon Bedrock

An intro to Amazon Bedrock by Swami Sivasubramanian, VP of Data and ML at AWS.

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Getting started Amazon bedrock patterns

Patterns

Pre-built patterns to help you get started with serverless and Bedrock.

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Presented by:

Veda Raman

Veda Raman

AI/ML Solutions Architect at AWS

Eric Johnson

Eric Johnson

Eric Johnson is a Principal Developer Advocate for Serverless Applications at Amazon Web Services and is based in Northern Colorado. Eric is a fanatic about serverless and enjoys helping developers understand how serverless technologies introduces a major paradigm shift in how they approach building and running applications at massive scale with minimal administration overhead. Prior to this, Eric has worked as a developer, solutions architect and AWS Evangelist for an AWS partner company.

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