Automated Fine-Tuning of OpenAI Models from Google Drive

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This workflow automates the process of fine-tuning OpenAI models using data stored on Google Drive, triggered manually or through chat messages. It streamlines the preparation, upload, and model creation steps, making it easy to train custom AI models. The process begins with a manual trigger or a webhook that receives chat messages, which can then be used to generate targeted responses or further interactions. Files for training are prepared as JSONL format, uploaded from Google Drive, and then sent to OpenAI’s API to create a fine-tuning job automatically. This workflow is useful for developers and AI practitioners who want to automate the custom training of language models based on specific data, saving time and reducing manual effort.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, googleDrive, httpRequest, manualTrigger, stickyNote

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