ToolsThe story, in brief
Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities
Amazon Nova Forge SDK now lets you fine-tune models with data mixing. Here's the playbook.
The KeyNews take
Why it matters
AWS is lowering the barrier to custom model adaptation with practical tooling around Nova fine-tuning, enabling enterprises to move beyond off-the-shelf models without deep ML ops expertise.
The key facts
8 to knowNova Forge SDK series part 2 published
Focus: fine-tuning with data mixing capabilities
Hands-on guide covers data prep, training, evaluation
Part of broader Nova customization series
Targets practitioners building on Amazon Nova models
Covers full workflow: data prep, training, evaluation
Hands-on guide format with repeatable playbook
Builds on earlier SDK introduction and part 1
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from data preparation to training with data mixing to evaluation, giving you a repeatable playbook you can adapt to your own use case. This is the second part in our Nova Forge SDK…