Duolingo uses large language models to accelerate language lesson creation
Duolingo has fewer than 1,000 employees but over 21 million daily active users, and building, updating, and maintaining course content takes so long that many courses can only release new content a few times per year.
The previous Birdbrain AI could only select practice problems, not create them; human experts had to write each problem individually, then review, correct, and translate them — a slow per-exercise process.
AI tools allow Duolingo's education experts to generate large amounts of lesson content with a button click, enabling them to work more conveniently, faster, and more productively while maintaining content quality.
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Frequently asked questions
What did this team achieve with this AI workflow?
AI tools allow Duolingo's education experts to generate large amounts of lesson content with a button click, enabling them to work more conveniently, faster, and more productively while maintaining content quality.
What tools did this team use?
大規模言語モデル, バードブレイン.
What results were reported?
Daily active users: 2,100万人を超えています; Employee count: 1,000人未満; exercises generated per AI run: 10個; Exercise generation time: 数秒のうちに (source-reported, not independently verified).
What failed first in this deployment?
The previous Birdbrain AI could only select practice problems, not create them; human experts had to write each problem individually, then review, correct, and translate them — a slow per-exercise process.
How is this back office ops AI workflow structured?
Curriculum design → Prompt preparation → AI exercise generation → Curriculum designer review → Expert final approval.