Amazon Web Services

In this AWS re:Invent 2023 session, Jason Weil and Piyush Chan introduce Jupyter AI, an open-source extension that brings the power of large language models to Jupyter notebooks. They demonstrate how Jupyter AI can generate text and code, explain and debug code, rewrite code, and even build entire notebooks from a single prompt. The presenters highlight Jupyter AI's vendor-neutral approach, transparency, and user-driven design. They showcase features like the chat interface, magic commands, and the ability to learn from local data. The session includes live demos of Jupyter AI's capabilities, emphasizing its potential to enhance productivity for developers and data scientists using Jupyter notebooks.

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

Up Next

VideoThumbnail
1:01:07

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

Nov 22, 2024
VideoThumbnail
15:58

Revolutionizing Business Intelligence: Generative AI Features in Amazon QuickSight

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
2:51

How to Start, Connect, and Enroll Amazon EC2 Mac Instances into Jamf for Apple Mobile Device Management

Nov 22, 2024