Amazon Web Services

In this comprehensive tutorial, Ricardo Ferreira, Senior Developer Advocate at AWS, demonstrates how to leverage Amazon Bedrock for Java application development. The video covers three key examples: content inferencing with AI21 Labs Jurassic, content generation with Anthropic Claude V2, and content generation using response streaming. Ferreira guides viewers through setting up Maven dependencies, creating Bedrock runtime clients, and implementing both synchronous and asynchronous programming models. He showcases how to interact with different foundation models via a single API, making it easier for Java developers to build and scale generative AI applications.

00:00 Introduction
01:37 Setting up the Maven dependencies
02:07 Content inferencing with A121 Labs Jurassic
09:18 Content generation with Anthropic Claude V2
13:37 Content generation using response streaming
20:05 Implementing a callback handler for responses
24:10 Closing

product-information
skills-and-how-to
generative-ai
ai-ml
gen-ai
Show 4 more

Up Next

VideoThumbnail
15:58

Revolutionizing Business Intelligence: Generative AI Features in Amazon QuickSight

Nov 22, 2024
VideoThumbnail
1:01:07

Accelerate ML Model Delivery: Implementing End-to-End MLOps Solutions with Amazon SageMaker

Nov 22, 2024
VideoThumbnail
9:30

Deploying ASP.NET Core 6 Applications on AWS Elastic Beanstalk Linux: A Step-by-Step Guide for .NET Developers

Nov 22, 2024
VideoThumbnail
47:39

Simplifying Application Authorization: Amazon Verified Permissions at AWS re:Invent 2023

Nov 22, 2024
VideoThumbnail
2:53:33

Streamlining Patch Management: AWS Systems Manager's Comprehensive Solution for Multi-Account and Multi-Region Patching Operations

Nov 22, 2024