Evaluate Azure ML Prompt Flow Using Built-in Methods — Part 7

This post is in continuation to my previous articles, where I explained about Azure Machine Learning Prompt Flow. Here are those:

Part 1 — Getting started with Azure Prompt Flow

Part 2 — Create, update and test Azure Prompt Flow locally

Part 3 — Chat With Custom Data — FAISS Index & Azure ML Prompt Flow

Part 4 — Integrating Azure AI Search with Azure Prompt Flow

Part 5 — Use multiple prompts to analyze LLM response — Prompt Variant

Part 6 — Deploy And Consume LLM App Using Azure ML Prompt Flow

image generated by Bing

In this post, I’ll not write much as it is more UI oriented and hence would recommend you watch my recoding here:

Happy prompting!

Related articles

Getting Started With Azure Prompt Flow | by Shweta Lodha | Jan, 2024 | Medium

Create, Update & Test Azure Prompt Flow Locally | by Shweta Lodha | Jan, 2024 | Medium

Chat With Custom Data — FAISS Index & Azure ML Prompt Flow — Part 3 | by Shweta Lodha | Jan, 2024 | Medium

Integrating Azure AI Search With Azure Prompt Flow — Part 4 & 5 | by Shweta Lodha | Feb, 2024 | Medium

Deploy And Consume LLM App Using Azure ML Prompt Flow — Part 6 | by Shweta Lodha | Feb, 2024 | Medium