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.
Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process
Overview
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
Taught by
echohive
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