Engineers relied on fragmented spreadsheets and manual reviews to test AI. Now, an automated framework continuously validates models.
A global online educational platform integrating large language models to scale user support and grading across its extensive course catalog.
Engineering teams relied on fragmented offline spreadsheets, manual data reviews, and isolated scripts to detect errors in newly developed tools....
Online learning platform for university degrees, certifications, and courses.
AI observability and evaluation platform that helps developers build, test, and monitor LLM-powered applications.
Related implementations across industries and use cases
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Ad-hoc manual evaluations couldn't keep pace with rapid AI iteration. Scoring updates against real developer PRs cut negative rules.
Learners wasted time hunting for multimedia content. An AI assistant now lets them ask questions to locate training instantly.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Filming and editing took months. Teams now bypass the camera, using AI avatars to generate and localize content in hours.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.