In this blog post, we will demonstrate how to build a serverless AI chat experience with retrieval-augmented generation using LangChain.js and Azure. The application will be hosted on Azure Static…
The purpose of this blog is to demonstrate RAG implementation using LlamaIndex framework to construct a simple chatbot to answer a series of questions. Overview: In this blog, we will…
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,…
Rajeev Singh