Fine-tuning with OpenAI Models
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Automate the fine-tuning process of OpenAI models using a JSONL file.
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About This Workflow
Overview
This workflow automates the process of fine-tuning OpenAI models. It starts by preparing a training file, uploading it to Google Drive, then to OpenAI, and finally creating a fine-tuning job. This allows for custom model training based on specific datasets.
Key Features
- Prepares and uploads training data in JSONL format.
- Integrates with Google Drive for file storage.
- Leverages OpenAI API for file uploads and fine-tuning job creation.
- Includes robust error handling for a production-ready workflow.
How To Use
- Ensure you have the required OpenAI and Google Drive API credentials configured.
- Prepare your training data in the specified JSONL format.
- Upload the JSONL file to Google Drive (or adjust the Google Drive node accordingly).
- Run the workflow. The workflow will handle uploading the file to OpenAI and initiating the fine-tuning job.
Apps Used
Workflow JSON
{
"id": "a536117e-6772-412a-925f-1e7d48184e25",
"name": "Fine-tuning with OpenAI Models",
"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: a536117e-6772...
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