The stages involved in the efficient management and maintenance of Large Language Models (LLMs) throughout their production lifecycle.

• Natural language processing
• Machine translation
• Customer service

The stages of the LLMOps lifecycle may include: 1. Model development, where LLMs are trained and fine-tuned; 2. Model deployment, where LLMs are integrated into applications or systems; 3. Model monitoring, where performance is tracked and issues are identified; 4. Model update, where LLMs are updated or modified to improve performance; and 5. Model retirement, where LLMs are retired or decommissioned when they no longer meet performance standards.

• Managing and evolving the semantic data model