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Intelligent Document Processing with Azure Form Recognizer

Analytics Vidhya

Introduction Intelligent document processing (IDP) is a technology that uses artificial intelligence (AI) and machine learning (ML) to automatically extract information from unstructured documents such as invoices, receipts, and forms.

Azure 306
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How to Develop Serverless Code Using Azure Functions?

Analytics Vidhya

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Azure 327
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20,000 Microsoft Azure accounts compromised in EU: Is your cloud safe?

Dataconomy

A phishing campaign targeting manufacturing companies in Europe has compromised around 20,000 Microsoft Azure accounts using HubSpot and DocuSign. They crafted 17 different forms, designed to mimic legitimate requests for Microsoft Azure credentials.

Azure 153
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Deploy your ML model as a Web Service in Microsoft Azure Cloud

Analytics Vidhya

This article will provide you with a hands-on implementation on how to deploy an ML model in the Azure cloud. If you are new to Azure machine learning, I would recommend you to go through the Microsoft documentation that has been provided in the […].

Azure 337
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‘Chat With Company Documents’ Using Azure OpenAI

Towards AI

It works by storing text-based documents (that the LLM has no knowledge of) on an external database. When a user asks the LLM a question, the system retrieves relevant documents from this database and provides them to the LLM to use as a reference to answer the user's question. Pricing is based on per-token usage. Click to zoom.

Azure 122
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Azure Machine Learning – Empowering Your Data Science Journey

How to Learn Machine Learning

Welcome to this comprehensive guide on Azure Machine Learning , Microsoft’s powerful cloud-based platform that’s revolutionizing how organizations build, deploy, and manage machine learning models. Sit back, relax, and enjoy this exploration of Azure Machine Learning’s capabilities, benefits, and practical applications.

Azure 52
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Microsoft expands Phi line with new multimodal models

Dataconomy

Microsoft Phi-4 AI tackles complex math with 14B parameters This model is capable of generating text, translating documents, and executing actions within external applications. Developers can access these models through Azure AI Foundry and NVIDIA API Catalog to explore their potential further.

Azure 184