Amazon Bedrock optimizes video search with model distillation

AWS is enhancing Amazon Bedrock's capabilities for video semantic search through model distillation. This technique transfers knowledge from a large teacher model, Amazon Nova Premier, to a smaller student model, Amazon Nova Micro. The result is a significant reduction in inference costs, exceeding 95%, and a 50% decrease in latency. Crucially, this optimization maintains the high-quality routing accuracy required for nuanced search tasks, making video semantic search more efficient and cost-effective on the platform.