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0_Azure/3_AzureAI/AIFoundry/demos/3_GenAIApps.md

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## Wiki
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<details>
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<summary><b>Table of Wiki Contents</b> (Click to expand)</summary>
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<summary><b>List of References</b> (Click to expand)</summary>
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- [Microsoft Azure AI Fundamentals: AI Overview](https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/)
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- [Develop generative AI apps in Azure AI Foundry portal](https://learn.microsoft.com/en-us/training/paths/create-custom-copilots-ai-studio/)
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</details>
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## Content
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<details>
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<summary><b>Table of Contents</b> (Click to expand)</summary>
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- [Overview](#overview)
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- [Deploy a language model with Azure AI Foundry](#deploy-a-language-model-with-azure-ai-foundry)
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- [Understand the development lifecycle of a large language model LLM app](#understand-the-development-lifecycle-of-a-large-language-model-llm-app)
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- [Large Language Model LLM application with prompt flow](#large-language-model-llm-application-with-prompt-flow)
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</details>
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| **Chat Flow** | Conversational applications | - Enhanced support for chat functionalities<br>- Natural language understanding<br>- Dialogue management<br>- Response generation<br>- Advanced NLP capabilities<br>- Manages conversation flow<br>- Generates context-aware responses | - Creating chatbots and virtual assistants<br>- Interactive conversational agents|
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| **Evaluation Flow**| Performance evaluation | - Tools for measuring performance metrics<br>- Comparing results<br>- Identifying areas for improvement<br>- Measures accuracy, precision, recall, and F1 score<br>- Compares results from different runs<br>- Pinpoints areas for enhancement | - Iterative development and optimization<br>- Ensuring applications meet performance standards|
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## Connections and Runtimes
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<div align="center">
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<h3 style="color: #4CAF50;">Total Visitors</h3>
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<img src="https://profile-counter.glitch.me/brown9804/count.svg" alt="Visitor Count" style="border: 2px solid #4CAF50; border-radius: 5px; padding: 5px;"/>

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