In this course, award-winning tech innovator and AI/ML leader Kesha Williams guides you through several concepts and techniques that you can use to fine-tune LLMs using your own data. Explore the concepts and costs of fine-tuning and learn how to set up your environment for it. Go over the steps to prepare your data and fine-tune a pre-trained LLM. Plus, practice evaluating and iterating a fine-tuned model. Practical, hands-on challenges in each chapter give you a chance to deepen your understanding of the topics.
Learn More- Students
- Undergraduate
- Graduate
- By College
- College of Arts Humanities, and Social Sciences
- Daniels College of Business
- Daniel Felix Ritchie School of Engineering and Computer Science
- Graduate School of Professional Psychology
- Graduate School of Social Work
- Josef Korbel School of International Studies – Graduate Students
- Josef Korbel School of International Studies – Undergraduate Students
- Morgridge College of Education
- College of Natural Sciences and Mathematics
- University College
- Still Exploring
- Identity / Affinity
- Build Career Skills
- Share Your Story
- Alumni
- Employers & Recruiters
- Student Employment
- About