The question answering system, that is based on semantic search and LLM currently one of the most popular application of LLM functionality. But what after we build it? How to evaluate the work of QnA system?

Although evaluating the outputs of Large Language Models (LLMs) is essential for anyone looking to ship robust LLM applications, LLM evaluation remains a challenging task for many. Whether you are refining a model’s accuracy through fine-tuning or enhancing a Retrieval-Augmented Generation (RAG) system’s contextual relevancy, understanding how to develop and decide on the appropriate set of LLM evaluation metrics for your use case is imperative to building a bulletproof LLM evaluation pipeline.

• Prerequisites
• Answering questions is complicated

The following plugins are available for LLM. Here’s how to install them.