Azure Open AI (GPT) with Power Apps - Build a Power App to create Demo or Personal Knowledge Bot
Let's build a power app with open ai to create a personal knowledge assistant and or also to show demo. App allows users to increase productivity by gaining knowledge by asking questions and other features like Summarization, Code generation, Email Content, Blob post content, twitter content.Predict steel quality with Azure AutoML in manufacturing
This post will guide you through how we, Lotta Åhag and Gustav Kruse, used Azure AutoML and the 'Enterprise Scale ML (ESML) solution accelerator for Azure', to build an end-2-end machine learning solution in 6 weeks. The value of the solution is estimated to reduce 3.35 tons of Co2 emissions of propane and decrease electricity usage of 90MWh per year after putting the solution into production. The ecological impact is much higher less quality rejections will save a lot of resources including coal (and gas) needed to produce the steel. We collaborated with the Epiroc Data Scientist, Erik Rosendahl, who worked with the ESML templates for operation and governance. This is the story we want to share, about an end-2-end, machine learning solution on Azure. We wanted to leverage AI for steel manufacturing, in the area of heat treatment quality, with the goal to enhance the process to be able to reduce CO2. We got help from 2 student data scientists who wanted to execute this as their master thesis. In 6 weeks, they managed to leverage Azure Machine Learning and the ESML AI factory at Epiroc, using AutoML to build a machine learning model w an end-2-end pipeline from datalake to Power BI report. The team quickly got its own set of Azure resources as an ESML Project which ensured both enterprise grade scale and security – and out came a new AI innovation, with ecological wins - 3.35 ton C02 reduction and 30% less quality rejections. //Jonas Jern, Head of Digital Innovation, Epiroc Drilling Tools ABLLM Load Test on Azure (Serverless & Managed-Compute)
In the ever-evolving landscape of artificial intelligence, the ability to efficiently load test large language models (LLMs) is crucial for ensuring optimal performance and scalability. llm-load-test-azure is a powerful tool designed to facilitate load testing of LLMs running in various Azure endpoint deployment settings (Serverless and Managed).
