azure ml
30 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.24KViews5likes0CommentsUnderstanding 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!14KViews3likes1CommentPre-train and Fine-tune Language Model with Hugging Face and Gaudi HPU.
In this blog, we provide a general guideline of pre-training and fine-tuning language models using Hugging Face. For illustration, we use pre-training language models for question generation (answer-agnostic) in Korean as running example.13KViews0likes0CommentsThe 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.11KViews3likes1CommentReducing the distance to your Azure ML remote compute jobs
Under (hopefully) rare circumstances, after developing a training script and thorough local testing, it can still happen that the same script fails when executed on a remote AML compute target. Here, we are sharing some best practices around how to debug remote workloads on Azure ML.