OpenAI Model Examples
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Demonstrates various OpenAI model functionalities including text completion, editing, chat, and image generation prompts.
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About This Workflow
Overview
This workflow showcases practical examples of using different OpenAI models within n8n. It covers text completion and editing with older models, and more cost-effective chat-based interactions with newer models. It also includes an example of generating prompts for image creation using DALL-E.
Key Features
- Demonstrates OpenAI's text completion and edit operations.
- Shows how to utilize ChatGPT for summarization and translation.
- Includes an example of generating DALL-E prompts via ChatGPT.
- Uses n8n's Code node to prepare data for OpenAI API calls.
- Highlights the cost-effectiveness of switching from older models to chat-based APIs.
How To Use
- Set up OpenAI Credentials: Ensure you have your OpenAI API key configured in n8n.
- Execute Workflow: Trigger the workflow using the manual trigger node.
- Review Outputs: Examine the results from each OpenAI node to understand its output.
- Adapt Parameters: Modify prompts, max tokens, and other parameters to suit your specific needs.
Apps Used
Workflow JSON
{
"id": "8cdd0ea9-1dbb-4f7a-9e9a-86eaaca117e7",
"name": "OpenAI Model Examples",
"nodes": 0,
"category": "AI/Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 8cdd0ea9-1dbb...
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