# Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock

Canonical URL: https://www.traeai.com/articles/05ecaae6-7eda-4458-9338-606b31a9d886
Original source: https://aws.amazon.com/blogs/machine-learning/optimize-video-semantic-search-intent-with-amazon-nova-model-distillation-on-amazon-bedrock/
Source name: AWS Machine Learning Blog
Content type: article
Language: 英文
Score: 8.2
Reading time: 9 分钟
Published: 2026-04-17T19:43:38+00:00
Tags: Amazon Bedrock, 模型蒸馏, 视频语义搜索, 多模态AI, AWS

## Summary

AWS 使用模型蒸馏技术将大模型的路由智能迁移到小模型，在视频语义搜索中降低95%成本、50%延迟，同时保持准确率。

## Key Takeaways

- 模型蒸馏无需人工标注数据，利用教师模型自动生成高质量训练样本
- 蒸馏后的小模型（Nova Micro）在视频搜索意图路由上接近大模型精度
- 相比Claude Haiku方案，推理成本降95%，延迟减半，适合复杂企业元数据场景

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