Scribd, Inc. classifies more than 400 million documents with Gemini batch inference on Gemini Enterprise

TL;DR

Scribd utilized Gemini Enterprise's batch inference to classify over 400 million documents, achieving rapid trust and safety assessments without extensive preprocessing. This innovative approach streamlined content moderation and significantly reduced operational costs.

Key Takeaways

• Utilize native PDF processing to reduce preprocessing time.
• Implement batch prediction for cost-effective large-scale classification.
• Collaborate with cloud providers for infrastructure support.
• Establish continuous evaluation pipelines for ongoing content moderation.