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

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

[DevelopersDigest]

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[melvinestudillo]

awesome video, please don't stop!

[altered.thought]

What a timely video!!, ... Please finetune Llama 3.1 8B

[micbab-vgmu]

I was not fun of finetuning GPT3.5 - but I try GPT4omini - maybe I will be able to get better results than GPT4o:)

[hqcart]

hi there, nice tutorial, one question, Why are you repeating the same system role? cant you just have 1 system role and multiple examples of user and assistant?

[rct]

Why is no one talking about Error creating job: Your organization must qualify for at least usage tier 4 to fine-tune gpt-4o-mini?
You have to be in Tier 4 which costs $250 in order to use free fine-tuning.

Developers Digest: how are you using this? is there a way to get around this?

[elias]

What is this app/websit you are using at the start and at the end to test your fine tuned chat?