Fine-Tuning GPT-4o with Synthetic Data: A Step-by-Step Guide

About this video

In this video, I will show you how to fine-tune GPT-4.0 mini to achieve better results by generating synthetic data using Claude 3.5 Sonnet. We'll cover how to dynamically create SVGs, normalize the data, and set up a fine-tuning session using the OpenAI platform. Additionally, we'll discuss setting up a simple script to generate these SVGs, perform human intervention to select the best ones, and create a JSONL file for fine-tuning. Finally, I'll walk through the fine-tuning process in OpenAI's Playground and demonstrate how fine-tuning can improve results. Repo: https://github.com/developersdigest/synthetic-data-generation-fine-tuning-gpt-4o 0:00 Screen Recording 2024-07-24 at 7.37.03 PM 00:25 Generating Synthetic Data with Claude 3.5 Sonnet 01:15 Creating and Filtering SVGs 02:11 Setting Up the Script and Configuration 03:24 Generating Prompts and SVGs 06:40 Validating and Saving SVGs 09:20 Preparing JSONL for Fine-Tuning 11:22 Uploading and Fine-Tuning on OpenAI 14:17 Testing and Results 16:30 Conclusion and Future Tutorials