Automate OpenAI Model Fine-Tuning with Google Drive Integration
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This n8n workflow automates the fine-tuning process for OpenAI models. Seamlessly integrate with Google Drive to upload training data and initiate fine-tuning jobs, empowering you to create custom AI models with ease.
About This Workflow
This workflow streamlines the creation of custom AI models by leveraging the power of OpenAI's fine-tuning capabilities and the convenience of Google Drive for data management. It guides you through preparing your training data in the required .jsonl format and uploading it directly from Google Drive. Once the data is ready, the workflow automatically uploads it to OpenAI's platform and initiates a fine-tuning job. You'll receive a notification or can monitor the progress via the API, ultimately yielding a specialized model tailored to your specific needs. This eliminates manual steps and accelerates the deployment of bespoke AI solutions.
Key Features
- Automated Data Upload: Seamlessly pull
.jsonltraining files from Google Drive. - OpenAI Fine-Tuning Integration: Direct integration with OpenAI's API to initiate and manage fine-tuning jobs.
- Custom Model Creation: Train bespoke AI models tailored to your unique datasets and requirements.
- Flexible Workflow Triggering: Can be initiated manually or integrated into larger automation sequences.
- Clear Step-by-Step Guidance: Includes informative sticky notes to explain each stage of the fine-tuning process.
How To Use
- Prepare Your Training Data: Create a
.jsonlfile with the specified message format (e.g.,{"messages": [{"role": "system", ...}]}) and upload it to your Google Drive. - Configure Google Drive Node: In the
Google Drivenode, specify theFile IDof your uploaded.jsonlfile and set theOperationtodownload. - Configure OpenAI File Upload: In the
Upload Filenode, connect your OpenAI credentials and ensure thepurposeis set tofine-tune. - Configure Fine-Tuning Job Node: In the
Create Fine-tuning Jobnode, set theURLtohttps://api.openai.com/v1/fine_tuning/jobs. In thejsonBody, dynamically reference the uploaded file's ID using"training_file": "{{ $json.id }}"and specify your desired basemodel. - Connect Nodes: Ensure the output of the
Google Drivenode connects to theUpload Filenode, and the output of theUpload Filenode connects to theCreate Fine-tuning Jobnode. - Activate and Test: Enable the workflow and click 'Test workflow' to initiate the fine-tuning process.
Apps Used
Workflow JSON
{
"id": "f2ed19e2-f91c-456e-afe9-4e4ce5ae6555",
"name": "Automate OpenAI Model Fine-Tuning with Google Drive Integration",
"nodes": 13,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: f2ed19e2-f91c...
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