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Showing posts with the label Azure AI Training in Bangalore

How to Build and Implement Agentic RAG Using Azure AI?

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How to Build and Implement Agentic RAG Using Azure AI? Introduction Microsoft Azure AI helps developers build applications that can understand questions and find useful answers. One interesting technology in this area is Agentic RAG. It combines AI agents with a method called Retrieval-Augmented Generation (RAG). This combination helps an application do more than search for information. It can understand a question, find the right data, choose the next action, and give a clear answer. An Azure AI Course can help learners understand these concepts and learn how to build useful AI applications. Let's take a simple example. Imagine an employee wants to know the company's leave policy. Usually, the employee must open different files and search for the answer. With Agentic RAG, the application can search the policy documents and give the required information in a few seconds. How to Build and Implement Agentic RAG Using Azure AI? 1. What Is Agentic RAG? Agentic RAG is a ...

Azure AI - 103 Online Recorded Demo Video

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  Azure AI - 103 Online Recorded Demo Video Mode of Training: Online Contact +91-7032290546 WhatsApp: https://youtu.be/j8p5z1cdiOQ Blog link: https://visualpathblogs.com/category/azure-ai-102/ Visit: https://www.visualpath.in/azure-ai-online-training.html Watch Demo Video @ https://youtu.be/tapv363xGvs

How to Build AI Agents That Use Tools and APIs

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How to Build AI Agents That Use Tools and APIs Introduction Azure AI helps developers build applications that can understand requests and perform useful tasks. For example, an application can check an order, find a customer record, or collect information from another service. Learning through an Azure AI Course can help beginners understand these concepts and build simple projects. An AI agent is a program that works toward a goal. It understands a request, selects a suitable tool, and uses the result to prepare an answer or complete an action. Think about a customer who wants to know when a package will arrive. The agent can check the order, contact a delivery service, and explain the latest status. The customer does not need to open several websites. Building a useful agent requires careful planning. Developers must connect the right tools, protect private information, and check every important result. How to Build AI Agents That Use Tools and APIs 1. What Is an AI Agen...