Why is it so important to evaluate Large Language Models (LLMs)? 🤯🔥

Evaluating LLMs is important, not just for deriving accurate results, but also to ensure the safety of the applications in which they are deployed.

Unchecked biases in LLMs can inadvertently perpetuate harmful stereotypes or produce misleading information, which in turn can produce severe consequences. In this article, we'll demonstrate how to evaluate your LLMs using an open source model testing framework, Giskard. 🤓

Your testing framework for LLMs & ML models 🛡

Giskard is an open-source testing framework for …

applications article biases consequences information language language models large language large language models llms safety stereotypes