Llm Monitoring
A process designed to track the performance, reliability, and effectiveness of Large Language Models (LLMs).
Areas of application
- Natural language processing
- Machine learning
- Artificial intelligence
- Data science
- Software engineering
Example
Monitoring the performance of an LLM in a natural language processing application, such as sentiment analysis or machine translation, can help identify areas for improvement and optimize the model’s performance.