From Eyeballing to Excellence: 7 Ways to Evaluate & Monitor LLM Performance
How to calculate metrics for evaluating the quality of LLMs for your specific use case.
ALESSYA VISNJIC
CEO and CO-FOUNDER
WhyLabs
It’s easy to get started with Large Language Models (LLMs) but it’s hard to move beyond the proof of concept. Especially when you don’t know how to evaluate the quality of the LLM-powered experience. And unfortunately, the most popular evaluation approaches - eyeballing or asking the LLM to self-evaluate - are both flawed.
During this workshop, we will explore 7 different approaches to calculate metrics for evaluating the quality of LLMs for your specific use case, so you never have to eyeball again. With our expert guidance and hands-on exercises, you'll learn how to measure the effectiveness of your LLMs in a way that's accurate, consistent, and meaningful!
You can also read the blog on this topic here!
