Fine-Tuning ChatGPT 3.5 with Synthetic Data from GPT-4 - Step-by-Step Guide
Offered By: All About AI via YouTube
Course Description
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
Related Courses
Macroeconometric ForecastingInternational Monetary Fund via edX Machine Learning With Big Data
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Data Science in Action - Building a Predictive Churn Model
SAP Learning