I am finding that our AI projects accumulate technical debt way faster than our traditional software. Between the changing APIs, the model versions, and the prompt tweaks, we are constantly fixing things. Does anyone have a system for managing this? How do you maintain documentation for prompt versions and their corresponding outputs? I feel like we are constantly iterating but never actually stabilizing anything. Any advice on version control for AI would be helpful.
Our experts are ready to help you with any questions about courses, admissions, or career paths. Get personalized guidance from industry professionals.
Live online and classroom training in PMP, ITIL, Agile, Six Sigma and more, with exam support included.
Subscribe to our newsletter for the latest updates on certifications and training opportunities.
Search iCertGlobal for certifications, courses and articles.
"PMI®", "PMBOK®", "PMP®", "CAPM®" and "PMI-ACP®" are registered marks of the Project Management Institute, Inc. | "CSM", "CST" are Registered Trade Marks of The Scrum Alliance, USA. | COBIT® is a trademark of ISACA® registered in the United States and other countries.