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

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Code: https://github.com/KannamSridharKumar/youtube_misc/blob/main/finetune_gpt_4o_vision.ipynb

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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