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.
Coursera's Model evaluation is part of this use case:
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.
New competency reviews tripled evaluation questions. Now, employees use AI to synthesize past 1:1 notes and draft high-quality feedback.
Teachers spent 20 minutes grading one test. A vector engine now scores handwritten answers instantly, referencing 1 billion+ items.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Feedback lagged for 15 seconds. Switching to specialized hardware cut response times to two seconds while halving costs.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
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.
Coursera's Model evaluation is part of this use case:
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.
New competency reviews tripled evaluation questions. Now, employees use AI to synthesize past 1:1 notes and draft high-quality feedback.
Teachers spent 20 minutes grading one test. A vector engine now scores handwritten answers instantly, referencing 1 billion+ items.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Feedback lagged for 15 seconds. Switching to specialized hardware cut response times to two seconds while halving costs.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.