AI Unlocked: Azure Machine Learning Prompt Flow [English]

Join us for a session tailored for developers, data scientists, and AI practitioners aiming to harness the potential of Azure Machine Learning Prompt Flow. This session is designed to provide you with a comprehensive understanding of how Prompt Flow can streamline your end-to-end LLM development lifecycle.
Lauren Tran will cover an overview of Prompt Flow and how to interact with it leveraging the cloud-based tools as well local development. We will also cover various features and concepts core to developing your LLM workflows with Prompt Flow.
We'll also get hands-on with 2 demos of Prompt Flow:
Demo 1: RAG (Retrieval-Augmented Generation) Flow in Azure Machine Learning Studio - Build a RAG Flow in 15 minutes using Prompt Flow to chat with your data. We will focus on developing prompt variants, implementing an evaluation flow, and conducting bulk testing to optimize performance. You will learn how to evaluate performance with various metrics such as Groundedness, Relevancy, and Coherence.
Demo 2: Function Calling with Prompt Flow in Visual Studio Code - Experience a practical walkthrough on how to build with Prompt Flow directly within Visual Studio Code. Additionally, learn to use debugging that will ease your development processes.