What we’re about
Whether you want to get started with AI and the latest technology or you're building your career or the next great idea, Microsoft Reactor connects you with the developers and startups that share your goals.
Microsoft Reactors are centers for free technical learning and sharing, where developers and startup professionals can connect with the local community and build new skills to drive innovation.
Virtual events are running around the clock so join us anytime, anywhere!
Learn more at: https://aka.ms/developer.microsoft/reactor
Many of our virtual workshops are recorded and then uploaded to our YouTube channel: Microsoft Reactor - YouTube
Upcoming events
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•OnlineWrap up - How to Submit your hack & Next steps
OnlineYou’ve hacked, you’ve learned, you’ve created and now it’s time to wrap up and submit your project.
In this session, we will walk you through the complete submission process for the FabCon Hackathon. You will learn how to package your solution, including your code, docs, and demo video, and where to upload everything. We will share tips for creating a clear and compelling demo that highlights your innovation and meets the judging criteria.
Finally, we will cover what happens next: timelines for judging and how winners will be announced. Bring your questions and we will leave time for Q&A to make sure you leave confident and ready to submit.
What you will learn
- How to submit your project details, code, and demo video
- Tips for creating a strong documentation and demo
- Key dates and what to expect after submission
📌 This session is a part of a series! Learn more here
🔍 Explore the Global Fabric Hackathon repo
Pre-requisites:
Check out the hack repo: https://aka.ms/FabConHack-Reactor1 attendee
•OnlinePython + AI: Quality and safety
OnlineNow that we're more than halfway through our Python + AI series, we're covering a crucial topic: how to use AI safely, and how to evaluate the quality of AI outputs.
There are multiple mitigation layers when working with LLMs: the model itself, a safety system on top, the prompting and context, and the application user experience. Our focus will be on Azure tools that make it easier to put safe AI systems into production.
We'll show how to configure the Azure AI Content Safety system when working with Azure AI models, and how to handle those errors in Python code. Then we'll use the Azure AI Evaluation SDK to evaluate the safety and quality of the output from our LLM.
This session is a part of a series! To learn more, click here
Pre-requisites:
Habla español? Tendremos una serie para hispanohablantes!3 attendees
Past events
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