LLMOps Review and Compliance
In this chapter, we’ll explore the process of integrating and operationalizing offline performance metrics, while aligning with the security and legal frameworks that govern large language model (LLM) deployment. This involves using tools such as Apache Airflow to manage data and model workflows, as well as incorporating human reviews to maintain oversight. We also cover the importance of validating data and model licensing to comply with legal and regulatory standards. This discussion aims to equip practitioners with the know-how to manage LLMs effectively in a real-world setting, ensuring they are both high-performing and in line with regulatory and legal requirements.
This chapter will cover the following topics:
- Evaluating LLM performance metrics offline
- Securing and governing models with LLMOps
- Ensuring legal and regulatory compliance
- Operationalizing compliance and performance management
