Hey I’m Seth!
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Fine tuning with OpenAI
Fine tuning with OpenAI
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Preview:
What's inside this tutorial?
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.
Here's what you can expect:
- 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
Who is this for?
- Entrepreneurs
- Marketers
- Data Scientists
- Anyone interested in using the state-of-the-art language models for their projects
About the instructor
I'm a non-technical founder turned AI entrepreneur—and if I can master this, so can you. After dedicating hundreds of hours to learning and experimenting with the latest no-code and AI tools and frameworks, I've:
- Built and launched multiple AI-powered SaaS products without writing traditional backend code
- Integrated state-of-the-art models for real-world applications—data processing, personalization, and automation
- Scaled AI workflows to serve thousands of users reliably
I also share everything I learn on my YouTube channel - with 1.5M+ views, where I teach hands-on AI coding, tool integrations, and best practices.
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Lessons
More projects included in
Build AI Apps with No-Code
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