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.

• 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

• Entrepreneurs
• Marketers
• Data Scientists
• Anyone interested in using the state-of-the-art language models for their projects