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- Who We Are
- Find Your Career Center
- Central Career Services
- School of Architecture
- College of Arts and Sciences
- School of Education
- College of Engineering and Computer Science
- David B. Falk College of Sport and Human Dynamics
- Graduate School
- School of Information Studies
- College of Law
- Maxwell School of Citizenship and Public Affairs
- S.I. Newhouse School of Public Communications
- College of Professional Studies
- Student-Athlete Engagement
- Veterans
- College of Visual and Performing Arts
- Martin J. Whitman School of Management
- Build Career Skills
- Career Pathways and Exploration
- Resume, Cover Letter or Portfolio Preparation
- Interview Preparation or Mock Interview
- Job Offers and Negotiation Skills
- Job, Internship and Co-op Search Strategy
- Networking Strategies, Tools and Engagement
- Internship Funding Opportunities
- Professional Development Technologies
- Labor Market Insights
- Recruit Orange
- Campus Community