AI Fine Tuning using JSONL

This system demonstrates a no‐code workflow for fine-tuning OpenAI models by integrating generated JSONL training data from ChatGPT with automated progress monitoring. It features two methods: a direct fine-tuning using the OpenAI Playground and an advanced setup that leverages Airtable to trigger webhooks and track metrics like training loss, epochs, and batch sizes. The workflow uses API calls, real-time testing, and a feedback loop to compare outputs. Created and explained by Mark Kashef, the video provides free template assets via a Gumroad link.