Product Launchsupervised fine tuningvoice of customeraws novacatastrophic forgetting
Amazon Nova Forge Demonstrates 17% F1 Improvement
8.3
Relevance Score
The AWS China Applied Science team evaluated Amazon Nova Forge by fine-tuning models on a 15,372-sample Voice of Customer dataset with a 1,420-category four-level taxonomy. Their data-mixing supervised fine-tuning produced a 17% F1 improvement on the VOC task while preserving near-baseline MMLU scores and instruction-following abilities, reducing catastrophic forgetting.


