Fine-Tuning ChatGPT 3.5 with Synthetic Data from GPT-4 - Step-by-Step Guide
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Overview
Explore a comprehensive 27-minute video tutorial on fine-tuning ChatGPT 3.5 using synthetic data generated from GPT-4. Learn the step-by-step process, from selecting dataset types to evaluating the fine-tuned model. Discover how to generate datasets using Python, create JSON datasets, and implement the fine-tuning process. Gain insights into the cost implications and evaluate the performance of the resulting model. Follow along with a detailed flowchart and practical demonstrations to enhance your understanding of improving language model results through fine-tuning techniques.
Syllabus
ChatGPT 3.5 Fine-Tuning with GPT-4 Intro
ChatGPT 3.5 + GPT-4 Fine-Tuning Flowchart
Step 1: Selecting Dataset Types
Step 2: Generating Datasets with Python
Step 3: Generating JSON Datasets
Step 4: Fine-Tuning Our ChatGPT Model
Price of the Fine-Tuned ChatGPT Model
ChatGPT 3.5 + GPT-4 Fine-Tuning Model Evaluation
Taught by
All About AI