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Tag: AzureAI

October 1, 2025September 29, 2025

Microsoft Injects Claude into Copilot — Because “One AI Vendor to Rule Them All” Was Getting Tired

Big news: Microsoft is no longer content with leaning only on OpenAI. They’re bringing Anthropic’s Claude models (Sonnet 4, Opus 4.1) into Microsoft 365 Copilot. You’ll soon be able to pick whether your Copilot uses OpenAI or Claude in certain contexts. Welcome to the multi-model era. What’s Actually Changing Copilot’s Researcher agent can now run…

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August 6, 2025August 6, 2025

The Technical Foundation of Multi-Agent Copilot Systems and Secure AI Infrastructure in Microsoft Azure

🧬 1. Copilot Agent Architecture: Internal Design Archetype of a Copilot Agent in Microsoft Copilot Studio: Agent: ID: uuid Permissions: [Graph.Read, SharePoint.ReadWrite, CustomAPI.SendEmail] State: Memory: long-term vector embeddings (Azure AI Search) Session Context: transient (JSON graph) Plugins: – Planner – Orchestrator – GraphExecutor LLM Endpoint: Azure OpenAI (GPT-4o) Storage: Cosmos DB / Azure Table 🗉…

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June 23, 2025June 20, 2025

AI Agents in Azure: From Chatbots to Actual Workflow Machines

hi. let’s get this out of the way: chatbots are boring. we’ve all seen “hi, how can I help you?” with 4 buttons and zero logic. meh. but what if u could build an agent that books a shipment, tracks anomalies, pulls inventory from SAP, and calls another AI to summarize a PDF — all…

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June 20, 2025

Why I Run This Blog (And Why I Keep Writing All These Damn Articles)

A lot of ppl asks me why do I run this blog? okay take a look ))))))))) short version lol, so I don’t lose my mind with the amount of info I process every day. longer version )))))))  because everything I write helps me think, structure, and not drown in this tech flood of updates,…

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May 30, 2025

Generative AI in Healthcare: From Pilots to Infrastructure

*A technical review for engineers, solution architects, and research professionals 1. Introduction: From NLP Utilities to Cognitive Agents Generative AI and large language models (LLMs) such as GPT-4, Med-PaLM 2, BioGPT, and GatorTron are enabling a structural shift in clinical workflows. These models are capable of: Handling unstructured medical data Generating clinical content (notes, discharge…

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