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Title 1: How to deploy Chatbot and LLM on an Azure Kubernetes Service
Description: Roy Kim will be presenting Kaito, an operator streamlining AI/ML inference model deployment in Kubernetes. Discover how Kaito simplifies deployment of large open-source inference models like Falcon and LLAMA2. Then deploy the Streamlit Chatbot to call the LLM inference service. Learn its unique features and see how Kaito simplifies the workflow of onboarding AI inference models and chatbots app in Azure Kubernetes.
Speaker 1: Roy Kim
Roy Kim is an Azure Cloud Architect and Engineer. He focusses in devops, terraform and various azure workloads for small and large enterprise projects. He holds Comp Sci Bachelors from the University of Toronto. And has been a Microsoft MVP since 2017 by sharing his tech knowledge and experience through his tech blog www.roykim.ca and speaking on events.

Title 2: Microsoft Extensions AI: A walkthrough
A walkthrough of the new Microsoft.Extensions.AI library. We will cover use cases, pitfalls and hands on example session of how to use the library.
Speaker 2: Luca Gobbi
Luca Gobbi, a Toronto-based developer, started his career in 2007 and has worked in many different industries ranging from linear programming to finance. He’s currently the leading the engineering team at a health tech startup.