Versioning in Large Language Model Operations (LLMOps) refers to the systematic process of tracking and managing different versions of Large Language Models (LLMs) throughout their lifecycle.

• Reproducibility
• Traceability
• Optimization

For instance, a team of developers working on a machine learning project may use versioning to keep track of different iterations of their model as they refine it. Each version of the model could be given a unique identifier and stored in a version control system, allowing the team to easily revert back to previous versions if necessary.

• Managing and evolving the semantic data model