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.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
New competency reviews tripled evaluation questions. Now, employees use AI to synthesize past 1:1 notes and draft high-quality feedback.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
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.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
New competency reviews tripled evaluation questions. Now, employees use AI to synthesize past 1:1 notes and draft high-quality feedback.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Prompt iterations rubber-banded: each engineer's fix overcorrected the last. Evals are now a merge requirement—no eval, no commit.
Deal data scattered across systems kept sellers from districts. AI unified it—leadership moved from retrospective reports to live intel.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.