This workflow automates the process of fine-tuning an OpenAI GPT model using custom data. It schedules and manages the creation of training data, initiates the fine-tuning job, and monitors its status. The workflow integrates with Google Sheets and Airtable to gather and store data, providing a seamless setup for customizing GPT models for specific tasks or datasets.
Automated GPT Fine-Tuning Workflow on a Schedule
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.openAi, airtable, code, googleSheets, httpRequest, if, scheduleTrigger, set, stickyNote, stopAndError, wait |
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