How to Fine-Tune a GPT-3 Model - Step by Step

Overview

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Learn how to fine-tune a GPT-3 model in this comprehensive 29-minute video tutorial. Follow a step-by-step process starting with creating an effective prompt and generating synthetic training data. Discover techniques for augmenting the data to enhance its training value. Master the preparation of a JSON file for uploading to OpenAI GPT-3. After fine-tuning the model, explore how to test its performance and evaluate the results. The tutorial covers key topics including prompt creation, synthetic data generation, data augmentation, JSON file preparation, model uploading, and testing, concluding with a helpful recap of the entire GPT-3 fine-tuning process.

Syllabus

Intro
Fine Tune GPT-3 Model Plan
Creating a prompt for fine-tuning GPT-3
Syntetic Data for fine-tuning GPT-3
Augmenting the Data for fine-tuning
Preparing a json file for fine-tuning
Uploading json file to OpenAI GPT-3
Testing our fine-tuned GPT-3 model
Recap of GPT-3 fine tuning