Tutorials
Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock
In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova Premier) into a muc
In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova Premier) into a much smaller student model (Amazon Nova Micro). This approach cuts inference cost by over 95% and reduces latency by 50% while maintaining the nuanced routing quality that the task demands.
Related
- Power video semantic search with Amazon Nova Multimodal Embeddings
- Customize Amazon Nova models with Amazon Bedrock fine-tuning
- How to build effective reward functions with AWS Lambda for Amazon Nova model customization
- Reinforcement fine-tuning on Amazon Bedrock: Best practices
- Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities
Source: AWS ML Blog | 2026-04-17