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

echohive via YouTube

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A step-by-step Python walkthrough of fine-tuning GPT-3.5 Turbo with the OpenAI API. It covers preparing and uploading a dataset, managing fine-tuning jobs, and tracking and plotting their progress.

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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