Finetune GPT-4o Vision Models: Custom Images & Output Format

Code: https://github.com/KannamSridharKumar...

Summary:
The video explains how to fine-tune GPT-4 Vision with custom images and output formats, focusing on preparing the training data in JSON-L format and the ease of using OpenAI's standardized API.
Preparing training data, especially annotating images and encoding them in Base64, is the most challenging step, but once done, the fine-tuning process is straightforward.
The video demonstrates how to assess car damage from images for insurance purposes, identifying damaged parts, damage type, and severity using fine-tuned GPT-4 Vision.

Keywords:
GPT-4 Vision
Fine-tuning
OpenAI API
Computer Vision
Car damage assessment
Multimodal model
Training data preparation
Base64 encoding


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