Fine-tuning Your Own GPT Model

سرفصل های دوره

Fine-tuning your own GPT model allows you to submit examples of the types of responses the AI system should provide based on user input. It allows you to more tightly control the output from the AI system, including setting voice and tone, controlling output format, following patterns, and adding preset data references.

Join LinkedIn Learning senior staff instructor and AI whisperer Morten Rand-Hendriksen in this short, skills-based course, as he shows you how to fine-tune GPT-3.5 Turbo by uploading your own data and creating a unique custom model. Test out your new skills as you progress through the course in the hands-on practice exercises integrated with GitHub Codespaces.

01 - Introduction

01 - Fine-tuning the OpenAI GPT API

02 - Exercise files and where to find them

02 - 1. Fine-Tuning GPT

01 - What does it mean to fine-tune a GPT model

02 - Project setup

03 - Formatting training data

04 - Testing the training data

05 - Uploading the training data

06 - Creating a fine-tuning job

07 - Retrieving a fine-tuning job and listing all jobs

08 - Prompting the fine-tuned model

03 - 2. Further Info

01 - Additional notes

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تولید کننده: LinkedIn Learning (Lynda)