Pamela Fox
Microsoft
LEARN, CONNECT, BUILD
Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!
LEARN, CONNECT, BUILD
Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!
13 March, 2025 | 4:30 PM - 5:30 PM (UTC) Coordinated Universal Time
Topic: Intelligent Applications
Language: English
In our second session of the Python + AI series, we'll dive into a different kind of model: the vector embedding model.
A vector embedding is a way to encode a text or image as an array of floating point numbers. Vector embeddings make it possible to perform similarity search on many kinds of content.
In this session, we'll explore different vector embedding models, like the OpenAI text-embedding-3 series, with both visualizations and Python code. We'll compare distance metrics, use quantization to reduce vector size, and try out multimodal embedding models.
Follow-along live, thanks to GitHub Models and GitHub Codespaces.
If you'd like to follow along with the live examples, make sure you've got a GitHub account.
You can also join a weekly office hours to ask any questions that don't get answered in the chat, in our AI Discord.
Want to check out this series in Spanish? Register here
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This event is part of the Python + AI Series.
Click here to visit the Series Page where you could see all the upcoming and on-demand events.
For questions please contact us at reactor@microsoft.com