Automated end-to-end fine-tuning of OpenAI models with Google Drive integration

1. How it Works This n8n workflow automates fine-tuning OpenAI models through these key steps: - Manual Trigger: - Starts with the "When clicking ‘Test workflow’" event to initiate the process. - Downloads a .jsonl file from Google Drive - Upload to OpenAI: - Uploads the .jsonl file to OpenAI via the "Upload File" node (with purpose "fine-tune"). - Create Fine-tuning Job: - Sends a POST request to the endpoint https://api.openai.com/v1/finetuning/jobs with: json { "trainingfile": "{{ $json.id }}", "model": "gpt-4o-mini-2024-07-18" } - OpenAI automatically starts training the model based on the provided file. - Interaction with the Trained Model: - An "AI Agent" uses the custom model (e.g., ft:gpt-4o-mini-2024-07-18:n3w-italia::XXXX7B) to respond to chat messages.

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2. Set up Steps To configure the workflow: 1. Prepare the Training File: - Create a .jsonl file following the specified syntax (e.g., travel assistant Q/A examples). - Upload it to Google Drive and update the ID in the "Google Drive" node.

2. Configure Credentials: - Google Drive: Connect an account via OAuth2 (googleDriveOAuth2Api). - OpenAI: Add your API key in the "OpenAI Chat Model" and "Upload File" nodes.

3. Customize the Model: - In the "OpenAI Chat Model" node, specify the name of your fine-tuned model (e.g., ft:gpt-4o-mini-...). - Update the HTTP request body (Create Fine-tuning Job) if needed (e.g., a different base model).

4. Start the Workflow: - Use the manual trigger ("Test workflow") to begin the upload and training process. - Test the model via the "Chat Trigger" (chat messages).

5. Integrated Documentation: - Follow the instructions in the Sticky Notes to: - Properly format the .jsonl (Step 1). - Monitor progress on OpenAI (Step 2, link: https://platform.openai.com/finetune/).

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