Event information

Agenda:

5:00 pm - Doors Open 5:30 pm - Welcome & Announcements 5:45 pm - Tech Talk (20 mins) 6:05 pm - Networking Break 6:15 pm - Workshop (60 mins) 7:15 pm - Q&A 7:30 pm - Doors Close

20-min Tech Talk:

Build a Copilot App on Azure AI: From LLM Ops to Responsible AI Speaker: Nitya Narasimhan, AI Advocacy @Microsoft

Abstract: Building Generative AI Applications end to end requires a paradigm shift from MLOps to LLM Ops. In this talk, we'll look at what that means, and how the code-first experience on Azure AI Studio can streamline your workflow from prompt-engineering to LLM Ops and Responsible AI. Along the way, you'll be introduced to 4 key Azure samples that you can explore to get hands-on experience with the concepts - then extend, to build a copilot for your own application requirements.

60-min Workshop:

Train a model & debug it with the Responsible AI Dashboard Speaker: Ruth Yakubu, AI Advocacy @Microsoft Abstract: Responsible AI principles help guide our approach to assessing, developing, and deploying AI systems in safe, trustworthy and ethical ways. The Responsible AI Toolbox from Microsoft Research provides an open-source set of tools with an Azure integration to help operationalize Responsible AI in practice for developers and data scientists. In this workshop, you will get hands-on experience with building and training a model on Azure, then creating a Responsible AI Dashboard to debug your model using tools for error analysis, model performance and fairness. The workshop provides you a sandbox with an Azure subscription, but you MUST bring your own laptop and have a GitHub account for participation.