LLM Output — Evaluating, debugging, and interpreting

LLMs are not useful if they are not sufficiently accurate. In this article, we will be looking at some methods to evaluate, debug, and interpret the output of the LLMs. The model I will be using in this article is GPT-3.5-Turbo, you can apply the techniques in this article to other LLMs.

Photo by Jeremy Bishop on Unsplash.

Obviously, the most reliable way to evaluate an LLM system is to create an validation…