Amazon Web Services

In this demo, Lester, an AWS associate solutions architect, demonstrates how to fine-tune foundation models in Amazon Bedrock using custom business data. He walks through the process of preparing a dataset, creating a fine-tuning job in Bedrock, and testing the resulting custom model. The video showcases how businesses can leverage their own data to create specialized AI models for unique customer interactions while maintaining data privacy and security. Lester provides step-by-step instructions on uploading training data to S3, configuring the fine-tuning job in Bedrock, and invoking the custom model using both the Bedrock console and Boto3 Python library.

product-information
skills-and-how-to
generative-ai
ai-ml
gen-ai
Show 3 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