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.
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
