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0_Azure/3_AzureAI/AIFoundry/demos/1_customCopilotAIStudio.md

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## Wiki
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<details>
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<summary><b>Table of Wiki </b> (Click to expand)</summary>
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<summary><b>List of References </b> (Click to expand)</summary>
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- [Azure OpenAI Service models available + preview)](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models)
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- [Create and manage prompt flow compute sessions in Azure AI Studio](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/create-manage-compute-session)
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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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- [Wiki](#wiki)
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- [Content](#content)
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- [How to](#how-to)
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- [Creating an Azure AI Studio Resource with Azure Open Studio](#creating-an-azure-ai-studio-resource-with-azure-open-studio)
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- [Create Compute](#create-compute)
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- [Create a New Project in Azure AI Studio](#create-a-new-project-in-azure-ai-studio)
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- [Choose a Model](#choose-a-model)
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- [Add Your Data](#add-your-data)
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- [Create a Prompt Flow](#create-a-prompt-flow)
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- [Customize with Multiple Data Sources](#customize-with-multiple-data-sources)
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- [Evaluate and Test](#evaluate-and-test)
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- [Deploy Your Copilot](#deploy-your-copilot)
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- [Monitor and Update](#monitor-and-update)
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- [Creating an Azure AI Studio Resource with Azure Open Studio](#creating-an-azure-ai-studio-resource-with-azure-open-studio)
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- [Create Compute](#create-compute)
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- [Create a New Project in Azure AI Studio](#create-a-new-project-in-azure-ai-studio)
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- [Choose a Model](#choose-a-model)
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- [Add Your Data](#add-your-data)
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- [Create a Prompt Flow](#create-a-prompt-flow)
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- [Customize with Multiple Data Sources](#customize-with-multiple-data-sources)
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- [Evaluate and Test](#evaluate-and-test)
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- [Deploy Your Copilot](#deploy-your-copilot)
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- [Monitor and Update](#monitor-and-update)
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</details>
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| **JAIS** | Core42 | Leading Arabic language model, optimized for Arabic NLP tasks|
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| **Nixtla** | Nixtla | Specialized in time-series forecasting and anomaly detection|
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## How to
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### Creating an Azure AI Studio Resource with Azure Open Studio
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## Creating an Azure AI Studio Resource with Azure Open Studio
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- Sign in to Azure Portal
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1. Go to the Azure Portal.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/de646a19-be04-4fe8-8350-92d613043d79">
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### Create Compute
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## Create Compute
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- Make sure to create you compute, with your specifications and region availability of features considered.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/2159b327-718b-4e31-96fc-87583c74aa3d">
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### Create a New Project in Azure AI Studio
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## Create a New Project in Azure AI Studio
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- **Navigate to AI Studio**: Go to the Azure AI Hub created, anc launch the Azure AI Studio from the Azure portal.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/b4e5c8f3-298d-4ab9-bb8e-7087d974e77a">
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### Choose a Model
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## Choose a Model
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- **Model Catalog**: Browse the model catalog in Azure AI Studio.
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- **Select Model**: Choose a model that fits your use case, for example gpt-4o-mini.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/d7e96dd0-7e18-4bb4-9226-63a345632b1b">
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### Add Your Data
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## Add Your Data
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- **Data Integration**: Integrate your own data into the model. This can include:
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- **Product Information**: Upload product catalogs or databases.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/6b350e0c-6c0b-41d7-aa10-e948c20f06db">
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### Create a Prompt Flow
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## Create a Prompt Flow
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> You can use the prompt flow feature to design how your copilot will interact with users.
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<img width="550" alt="image" src="https://github.com/user-attachments/assets/21e506bb-b16f-483f-a06d-c48b7cb86e2b">
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### Customize with Multiple Data Sources
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## Customize with Multiple Data Sources
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- Enhance Responses: Integrate multiple data sources to provide more accurate and comprehensive responses.
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1. **Identify Data Sources**: Determine which data sources will enhance your copilot's responses.
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2. **Optimize Search Results**: Fine-tune the search algorithms to provide the most relevant results.
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- Example: Use semantic search for understanding user intent and keyword search for specific terms.
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### Evaluate and Test
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## Evaluate and Test
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- Evaluation Dataset: Use a question and answer evaluation dataset to test your copilot's performance.
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1. **Create Dataset**: Compile a dataset of questions and answers to evaluate your copilot.
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1. **Analyze Results**: Analyze test results to identify areas for improvement.
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2. **Make Adjustments**: Adjust the prompt flows, data integration, and search algorithms as needed.
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### Deploy Your Copilot
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## Deploy Your Copilot
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- Deployment Endpoint: **Create Endpoint**: Deploy your copilot to an endpoint for user access.
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- Example: Use Azure Functions to create a serverless endpoint.
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1. **Create API**: Use Azure API Management to create and manage your copilot's API.
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2. **Secure API**: Implement security measures, such as API keys and authentication, to protect your API.
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### Monitor and Update
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## Monitor and Update
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- Performance Monitoring: Continuously monitor your copilot's performance using Azure Monitor.
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1. **Set Up Monitoring**: Use Azure Monitor to track your copilot's performance.

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