LLMOps Monitoring and Continuous Improvement
Monitoring large language models (LLMs) and implementing continuous improvement processes are critical aspects of managing these complex systems throughout their operational life cycle. Unlike traditional software applications, LLMs are dynamic in nature, constantly evolving based on new data and ongoing feedback. This chapter underscores the importance of effective monitoring and continuous improvement in the context of LLMOps, exploring how these practices enhance model performance, efficiency, and applicability.
In this chapter, we’re going to cover the following main topics:
- Monitoring LLM fundamentals
- Monitoring tools and technologies
- Monitoring for metrics
- Learning from human feedback
- Incorporating continuous improvement
- Implementing a continuously improving system
