This repository contains a collection of examples and resources to help you get started with the AWS Generative AI (GenAI)/ML Platform.
The AWS GenAI/ML Platform is a collection of tools and examples that enables you to build, train, and deploy models at scale. This repository provides a set of sample notebooks, scripts, and configurations to help you explore different aspects of the platform, including:
To get started, follow these steps:
Clone the repository to your local machine:
git clone https://github.com/aws-samples/genai-ml-platform-examples.git
Navigate to the repository directory:
cd genai-ml-platform-examples
Explore the contents of the repository and follow the instructions in the README.md files within each subdirectory.
We welcome contributions to this repository! If you have any examples, improvements, or bug fixes to share, please see CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.
Jupyter Notebook
64.1%
Python
28.0%
TypeScript
3.5%
JavaScript
2.1%
Shell
1.6%
This repository contains a collection of examples and resources to help you get started with the AWS Generative AI (GenAI)/ML Platform.
The AWS GenAI/ML Platform is a collection of tools and examples that enables you to build, train, and deploy models at scale. This repository provides a set of sample notebooks, scripts, and configurations to help you explore different aspects of the platform, including:
To get started, follow these steps:
Clone the repository to your local machine:
git clone https://github.com/aws-samples/genai-ml-platform-examples.git
Navigate to the repository directory:
cd genai-ml-platform-examples
Explore the contents of the repository and follow the instructions in the README.md files within each subdirectory.
We welcome contributions to this repository! If you have any examples, improvements, or bug fixes to share, please see CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.
Jupyter Notebook
64.1%
Python
28.0%
TypeScript
3.5%
JavaScript
2.1%
Shell
1.6%