Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process

Overview

Learn how to fine-tune GPT-3.5 Turbo in Python using the OpenAI API through this comprehensive video tutorial. Follow step-by-step instructions covering the entire process, from generating and uploading datasets to starting and managing fine-tuning jobs. Discover techniques for tracking progress in real-time, plotting results, and handling various aspects of the fine-tuning process. Gain valuable insights into working with large language models and leveraging the OpenAI API for customized AI applications.

Syllabus

What we will learn
Generating fine tuning dataset
Uploading your dataset
Starting a Fine Tuning job
Listing Fine Tuning jobs
Cancelling Fine Tuning jobs
Retrieving the progress of a Fine Tuning job
Deleting a fine tuned model
Tracking Fine Tuning progress in real time
Plotting Fine Tuning progress