ChatGPT Tutorial - GPT 4o Image Finetuning: Master AI Training Now!

🔬 FineTuning GPT 4o Vision: Enhance Image Recognition Capabilities. AI Vision Finetuning In this comprehensive tutorial, we explore how to finetune GPT-4's vision capabilities using images and text. Learn to create more accurate and customised image recognition models, even as a beginner! 📚 What You'll Learn: Preparing datasets for fine-tuning Submitting training jobs using OpenAI's no-code interface Using trained models in your applications ⏱️ Timestamps: 0:00 - Introduction to fine-tuning GPT-4 Vision 0:30 - Overview of the no-code interface 0:56 - Tutorial outline 1:15 - Step 1: Preparing the dataset 2:45 - Automating dataset creation 4:23 - Step 2: Submitting the training job 5:55 - Analysing training results 6:36 - Step 3: Using the trained model 7:05 - Implementing the model in Python 🔗 Links: Patreon: https://patreon.com/MervinPraison Ko-fi: https://ko-fi.com/mervinpraison Discord: https://discord.gg/nNZu5gGT59 Twitter / X : https://twitter.com/mervinpraison GPU for 50% of it's cost: https://bit.ly/mervin-praison Coupon: MervinPraison (A6000, A5000) 🚀 Key Steps: Create a dataset with image URLs and corresponding descriptions Format data in JSONL format Upload dataset to OpenAI platform Configure and initiate training job Analyze training results Implement trained model using provided API 💡 Pro Tips: Use at least 10 questions/images for initial training Increase epochs and batch size for better results Handle unsupported file formats (e.g., SVG) in your dataset 🔗 Further Learning: Check out our beginner-friendly API integration tutorial: https://www.youtube.com/watch?v=O6H5op-iamU 👍 Like, Subscribe, and Click the Bell Icon for more AI tutorials! #GPT4 #MachineLearning #ComputerVision #AITutorial #OpenAI 📝 Disclaimer: This video is for educational purposes only. Always refer to OpenAI's official documentation and guidelines when working with their APIs. Got questions? Drop them in the comments below! 👇