Guardrails for LLMs

Shreya discusses the challenges developers face when working with LLMs, particularly their unpredictable nature. To address this, she introduces the concept of guardrails, which provide independent checks and validations to ensure the reliability and correctness of LLM outputs. This open-source project aims to enhance the usability of machine learning applications by mitigating issues like hallucination.