The Power of AI in Grading Handwriting Assignments
Are you tired of the tedious task of manually grading papers as an educator? Do you long for a more objective and efficient way to score your students' assignments? Look no further than the revolutionary power of AI and machine learning. Our scoring package utilizes OCR, embedding, and similarity algorithms to automatically score student answers, eliminating the need for manual grading. The package also includes a user-friendly web form that enables educators to input scores and track grading progress, further streamlining the process. By using this package, educators can reduce their workload, while ensuring that the grading process remains objective and fair. If you're ready to embrace this exciting new technology, stay tuned for the release of our advanced scoring package. Say goodbye to tedious grading and hello to a more efficient and objective way of scoring student assignments.Your Startup's Secret Weapon for AI Success - Foundation Models in Azure Machine Learning
In the past, managing and using large models has been a cumbersome task, with customers having to manage the infrastructure and environment dependencies for these models. Foundational models, at their core, are pre-built machine learning models that have been meticulously crafted and fine-tuned by experts. These models serve as a rock-solid foundation upon which startups can build their AI applications.Deploy a Custom Vision App on Azure App Service with Zero Downtime Deployment using Deployment Slots
Utilize Custom Vision client library for Node.js to create a Custom Vision classification model and deploy a Web App implementation using Azure App Service. In this tutorial, you will also get to leverage the power of Azure App Service’s Deployment Slots to avert downtime during redeployment after making changes to code, enabling you to test code and deploy gradually without users being affected.
