Step-by-Step Guide
11 TopicsDeploying a Large Language Model (GPT-2) on Azure Using Power Automate: Step-by-Step Guide
Step-by-step guide on deploying a large language model (GPT-2) to the Azure platform and consuming it using Power Platform (Power Automate, Power Apps) to generate text and give you creative writing ideas.24KViews5likes0CommentsAzure DevOps for Beginners: How to Set Up Your Account, Organization, and Repository
Microsoft Learn Student Ambassador and developer in Power Platform and Dynamics 365 Customer Engagement, Rachel Irabor, shares how to create a new organization and repository in Azure DevOps. This step-by-step guide will walk you through the process of setting up an Azure DevOps account and creating a new organization, project, and repository. Follow this guide and start building your own projects in Azure DevOps.12KViews4likes2CommentsUnderstanding the Difference in Using Different Large Language Models: Step-by-Step Guide
Unlock the secrets of deploying Large Language Models on Azure with our comprehensive guide! Learn step-by-step integration techniques for models like GPT-2, Llama 2, and Dolly v1 in your Web Applications or Power Apps. Explore detailed instructions, ready-made code, and expert tips. Join us for a live session on November 2nd, 2023, to harness the power of AI and Microsoft tools. Become an entrepreneur with Microsoft Founders Hub, offering up to $2,500 OpenAI credits and $1,000 Azure credits. Dive into the world of tech solutions and creative writing ideas today!14KViews3likes1CommentThe Full Guide to Packaging and Deploying ML Models to Production Using Azure: Step-by-Step Guide
Step-by-step guide on How to package and deploy any machine learning model using ONNX to the Azure platform and consume it using Power Platform (Power Automate, Power Apps) to predict house prices.11KViews3likes1CommentEvaluating Language Models with Azure AI Studio: A Step-by-Step Guide
Evaluating language models is a crucial step in achieving this goal. By assessing the performance of language models, we can identify areas of improvement, optimize their performance, and ensure that they are reliable and accurate. However, evaluating language models can be a challenging task, requiring significant expertise and resources.6.2KViews1like0Comments