Testing and Evaluating LLMs
After development, the next crucial phase is testing and evaluating LLMs, an aspect we’ll explore in this chapter. We’ll not only cover the quantitative metrics that gauge performance but also stress the qualitative aspects, including human-in-the-loop (HITL) evaluation methods. We’ll also detail protocols while emphasizing the necessity of ethical considerations and the methodologies for bias detection and mitigation, ensuring that LLMs are both effective and equitable.
In this chapter, we’re going to cover the following main topics:
- Metrics for measuring LLM performance
- Setting up rigorous testing protocols
- Human-in-the-loop – incorporating human judgment in evaluation
- Ethical considerations and bias migration
By the end of this chapter, you should have a comprehensive understanding of the crucial phase of testing and evaluating LLMs.
