Case Study: Google Cloud achieves expert-graded LLM evaluation for Vertex AI customers with Labelbox

Google Cloud launches LLM evaluation jobs in minutes with Labelbox

Google Cloud faced the challenge of evaluating the performance of its large language models (LLMs). As these models grew more sophisticated, automated metrics were insufficient, and producing the large-scale, high-quality human judgment needed to assess nuances like relevance and bias was a time-consuming and resource-intensive process. To address this, Google Cloud turned to the vendor Labelbox.

Labelbox implemented its platform as a managed LLM evaluation solution built directly into Google Cloud's Vertex AI. This allowed customers to launch evaluation jobs and receive expert-graded human preference signals across customizable dimensions. The solution enabled Google Cloud's customers to develop and ship LLM applications with confidence, receiving quality-reviewed results within days and being able to launch new evaluation jobs in just minutes.

Google Cloud