Course Description

This course will teach how to fine-tune pre-trained OpenAI models for specific tasks and use cases. Students will learn how to select the appropriate model architecture and how to prepare and format data for fine-tuning.

They will also learn how to train and evaluate the fine-tuned model, as well as techniques for troubleshooting and improving performance.

By the end of the course, students will have the skills and knowledge necessary to fine-tune OpenAI models for a variety of natural language processing tasks such as text classification, language translation, and text generation.

What you'll learn

Learn use-cases for fine-tuning
Learn best practices for creating your own model
The process of how fine-tuning works
How to create fine-tuning datasets
How to create your own fine-tuned AI model

Meet your instructor

Seth Kramer

Hi! I'm Seth, the founder and lead instructor at No Code MBA.

I've built massive no-code automations for venture-backed startups, beautiful Webflow-powered websites (including one for a celebrity chef), and bootstrapped a 7-figure marketplace business.

No-code tools have helped me reach my entrepreneurial dreams without writing a line of code, and I'm thrilled to share everything I've learned with you through No Code MBA courses.

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