Automate OpenAI Fine-Tuning with Google Drive and n8n
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Streamline OpenAI model fine-tuning by automating data uploads from Google Drive directly into your fine-tuning jobs. Save time and effort.
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Run on AIWord Cloud ☁️About This Workflow
How it works
This workflow automates the process of fine-tuning OpenAI models. It begins by triggering manually or via a chat message. The first step involves downloading a .jsonl training file from Google Drive. This file is then uploaded to OpenAI using the File resource. Finally, an httpRequest node is used to initiate a fine-tuning job with the uploaded file and a specified base model (e.g., gpt-4o-mini-2024-07-18). The sticky notes provide crucial context on preparing the .jsonl file and understanding the fine-tuning process on the OpenAI platform.
Key Features
- Automates data transfer from Google Drive to OpenAI.
- Facilitates the creation of fine-tuning jobs.
- Integrates with OpenAI's fine-tuning API.
- Provides clear instructions for preparing training data.
How To Use
- Prepare Training Data: Create a
.jsonlfile with conversational data in the specified format and upload it to Google Drive. (Refer to Sticky Note 2 for syntax). - Configure Google Drive Node: In the 'Google Drive' node, provide the
fileIdof your.jsonlfile. - Configure OpenAI File Upload: Ensure the 'Upload File' node is connected to the Google Drive node and has the correct
binaryPropertyNameset todata.jsonl. - Configure Fine-tuning Job: In the 'Create Fine-tuning Job' node, set the
training_fileparameter to reference the ID of the uploaded file (e.g.,{{ $json.id }}) and specify your desiredmodel. - Set up Credentials: You will need valid Google Drive and OpenAI API credentials configured in n8n.
- Activate Workflow: Test and activate the workflow.
Apps Used
Workflow JSON
{
"id": "835cd7dd-2804-4ce7-b99f-f69769fa2b3a",
"name": "Automate OpenAI Fine-Tuning with Google Drive and n8n",
"nodes": 0,
"category": "AI & LLM",
"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: 835cd7dd-2804...
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