Fine-tuning Your Own GPT Model

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Morten Rand-Hendriksen

34:40

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01 - Introduction

01 - Fine-tuning the OpenAI GPT API.mp4

00:20

02 - Exercise files and where to find them.mp4

01:02

02 - 1. Fine-Tuning GPT

01 - What does it mean to fine-tune a GPT model.mp4

04:11

02 - Project setup.mp4

02:32

03 - Formatting training data.mp4

04:59

04 - Testing the training data.mp4

02:20

05 - Uploading the training data.mp4

02:56

06 - Creating a fine-tuning job.mp4

04:54

07 - Retrieving a fine-tuning job and listing all jobs.mp4

02:33

08 - Prompting the fine-tuned model.mp4

05:23

03 - 2. Further Info

01 - Additional notes.mp4

03:30

Description

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.

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Morten Rand-Hendriksen

Instructor's Courses

Since joining forces with lynda.com (now LinkedIn Learning) in 2010, I've 60+ published courses on WordPress, front end web design and development, and web standards, reaching hundreds of thousands of viewers from all over the world. I also contribute to the web community as a public speaker, author, educator, web developer, and design philosopher. I help the web make sense by helping people understand and get the most out of the web, and contribute to the debates about ownership and democratization of information, design philosophy, and the open web.

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.