Rajeev Singh | Coder, Blogger, YouTuber

Gen AI

Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps

Microsoft has unveiled the Microsoft Agent Framework in Public Preview, introducing a unified, open-source SDK and runtime that brings together the strengths of AutoGen and Semantic Kernel. This powerful combination enables developers to build intelligent, multi-agent systems with robust orchestration capabilities tailored for enterprise scenarios. Whether you’re exploring autonomous agents or scaling AI-driven workflows, this…

Gen AI

Unlock the Power of AutoGen Framework for Multi-Agent Systems

In my previous post, “Getting Started with AutoGen – A Framework for Building Multi-Agent,” I delved into the basics of the AutoGen Framework, providing step-by-step instructions and discussing how AutoGen can streamline the development of multi-agent systems. We also showcased a demo using AutoGen Studio. In this new post, I will take a deeper dive…

Gen AI

Getting Started with AutoGen – A Framework for Building Multi-Agent

In the previous post, I delved into multi-agent applications, highlighting how complex tasks can benefit from multi-agent solutions and the challenges they present. We also explored the capabilities of the Semantic Kernel. For more details, check out this article: Unlock the Power of AI: Creating Your First AI Agent Using Semantic Kernel In this article,…

Gen AI

Kickstart Your Journey with Multi-Agent Systems: Build Your First Multi-Agent Using Python and Azure OpenAI

This blog offers an overview of multi-agent systems, highlighting their advantages and how they differ from single-agent systems. It includes three examples and provides instructions for developing multi-agent systems using various methods. Blog Summary: In this blog, we will explore the exciting world of multi-agent systems, starting with an overview of their advantages and how…

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Create Your First AI Agent with Azure AI Service

In this blog, we’ll walk through the process of creating your first AI agent using Azure AI Agent Service. We’ll focus on creating a basic agent setup that uses Managed Identity for authentication. This blog will help you get started quickly, so you can focus on writing code and seeing the results. Blog Summary: In…

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Part 1: Enterprise Chat AI: Architecture and Demo

Enterprise Chat AI: Architecture and Demo In this blog series, we will delve into the realm of Enterprise Chat AI, exploring its architecture, design, and implementation. ✅In this first part, we will delve into the architecture of Enterprise Chat AI and showcase a demo application to explore its functionality. ✅In this second part of the…

Azure PaaS

Beyond the Basics: Advanced Serverless AI Chatbots Using RAG and LangChain.js

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 Web Apps and Azure Functions, with Azure AI Search as the vector database. Overview: Building a serverless chatbot using generative AI is an exciting and…

Gen AI

Build Your Personal RAG Chatbot on a PDF document: Langchain, ChromaDB on GPT 3.5

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 explore how RAG works and demonstrate its effectiveness through a practical example using GPT-3.5 Turbo to respond to a health care manual as an additional…

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Hear and speak with Chat Models

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 to test, evaluate, and experiment with various chat models, making it a valuable tool for research and development in the field of AI.  Overview: Do…

ML

MLOps: Model management, deployment, and monitoring with Azure Machine Learning

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 machine learning solutions. Overview: Azure Machine Learning (Azure ML) offers a robust framework for managing the lifecycle of machine learning models, known as MLOps. This…

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Getting started with Azure Open AI Services

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 of services that allow you to deploy and access advanced AI models, enabling various applications such as translation, summarization, conversation, and more. Creating an Azure…

Gen AI

Build your first Prompt Flow

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 is perfect for prototyping, experimentation, and deployment of AI applications powered by Large Language Models. In this tutorial, we will guide you through the process…

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Build and deploy a Q&A Copilot with 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 and laid the foundation for the prompt flow. Now, let’s dive into this exciting lab and put our skills to the test! Overview: In this…

Gen AI

Create your own Copilot that uses your own data with an Azure OpenAI Service Model

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 your own data with an Azure OpenAI service model, you can overcome the limitations of standardized copilot systems and gain a competitive edge. By tailoring…

Gen AI

Getting started with Azure AI Studio

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, you can streamline your workflows, improve accuracy, and drive innovation in your domain. Overview: Azure AI Studio is designed for developers to: With Azure AI Studio,…

Gen AI

Read printed and handwritten text from an image using OCR client library, C#

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 from images and returning it as structured strings. This post will guide you through the process of installing the necessary package and trying out the…

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