Using pre-trained models in Copilot Studio

Using Pre-Trained Models in Copilot Studio

Microsoft Copilot Studio (formerly Power Virtual Agents) allows you to leverage pre-trained AI models such as GPT-4, Azure Cognitive Services, and AI Builder to enhance chatbot responses. You can integrate these models without needing to train them from scratch.

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Methods to Use Pre-Trained Models in Copilot Studio

1. Using GPT-4 via Azure OpenAI API
2. Leveraging Azure Cognitive Services (Language, Vision, Speech)
3. Utilizing AI Builder for No-Code AI Solutions

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Method 1: Integrating GPT-4 via Azure OpenAI API

Pre-trained GPT-4 and GPT-3.5 models can be integrated with Copilot Studio via API calls.

Step 1: Set Up Azure OpenAI

1. Sign in to Azure Portal.
2. Search for Azure OpenAI and create a new instance.
3. Deploy GPT-4 or GPT-3.5-Turbo.
4. Copy the API Key and Endpoint URL from the Keys & Endpoint section.

Step 2: Connect GPT-4 to Copilot Studio

1. Open Copilot Studio → Topics → Add a Node.
2. Select Call an API.
3. Configure the request:
   • Method: POST
   • URL: Paste your Azure OpenAI Endpoint (e.g., https://your-instance.openai.azure.com/v1/completions)
   • Headers: { "Content-Type": "application/json", "Authorization": "Bearer YOUR_API_KEY" }
   • Body: { "model": "gpt-4", "messages": [{"role": "user", "content": "{User Input}"}], "max_tokens": 150 }
4. Save and test the integration.

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Method 2: Using Azure Cognitive Services (Pre-Trained AI)

Microsoft provides pre-trained AI services that can be connected to Copilot Studio:

1. Language Service (Text Analysis, Sentiment Detection)
2. Speech Service (Speech-to-Text, Text-to-Speech)
3. Vision Service (Image Recognition, OCR)

Example: Sentiment Analysis with Language Service

1. Go to Azure Portal → Create Azure Cognitive Services.
2. Get the API Key and Endpoint URL.
3. In Copilot Studio, add a new API call:
   • POST request to https://your-region.cognitiveservices.azure.com/text/analytics/v3.0/sentiment
   • Headers: { "Ocp-Apim-Subscription-Key": "YOUR_API_KEY", "Content-Type": "application/json" }
   • Body: { "documents": [{"id": "1", "language": "en", "text": "{User Input}"}] }
4. Parse and display the sentiment response in the chatbot.

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Method 3: AI Builder for No-Code AI Integration

For non-developers, AI Builder in Power Platform provides pre-trained AI models:

• Document Processing (Extract data from invoices, receipts)
• Business Card Reader
• Category Classification

Example: Extracting Invoice Data

1. Open Copilot Studio → Add Action → Select AI Builder.
2. Choose Extract Information from Documents.
3. Upload an invoice and test the AI model.

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Final Thoughts

Using pre-trained models in Copilot Studio allows you to integrate AI without complex training. Choose GPT-4 for conversational AI, Azure Cognitive Services for NLP, Vision, and Speech, or AI Builder for no-code AI solutions.

Would you like a hands-on example or a demo integration?