Microsoft recently introduced Phi-3, a family of open AI models. Building a custom Copilot powered by Microsoft’s Phi-3 SLM is a powerful way to create a personalized AI assistant. By…
The chat functionality in the Azure AI Studio playground allows users to engage with AI-driven conversations, both hearing and speaking with AI models. This interactive environment provides a convenient way…
Machine learning operations (MLOps) practices in Azure Machine Learning for the purpose of managing the lifecycle of your models. Applying MLOps practices can improve the quality and consistency of your…
To leverage the scale of large language models (LLMs) and power your solution’s AI capabilities, it is essential to create an Azure OpenAI service. This cloud platform offers a range…
Prompt flow is a powerful tool that enables developers to create, customize, and run flows easily and efficiently. With its ability to generate flows and iterate on them, Prompt flow…
In our previous blog post (Create your own Copilot), we walked through the process of creating a chat assistance using Azure AI Studio. We deployed it as a web app…
In a world of constant innovation and change, it is crucial for businesses to leverage the power of artificial intelligence to stay ahead. By creating your own copilot that uses…
Azure AI Studio tool empowers you to unlock the full potential of machine learning and automate tasks effectively. By leveraging the powerful tools and features provided by Azure AI Studio,…
Get Started with Azure AI Vision Read REST API or Client Libraries The Azure AI Vision Read REST API or client libraries provide developers with AI algorithms for extracting text…
Machine-learning-based OCR techniques allow you to extract printed or handwritten text from images such as posters, street signs and product labels, as well as from documents like articles, reports, forms,…
Rajeev Singh