Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities
Amazon AWS AI Blog / 4/18/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage
Key Points
- The article provides a step-by-step, hands-on workflow for fine-tuning an Amazon Nova model using the Amazon Nova Forge SDK.
- It covers the full process from data preparation through training, including the use of data mixing capabilities to manage and combine datasets.
- It includes guidance for evaluating the fine-tuned model, aiming to turn the steps into a reusable playbook for different use cases.
- As the second installment in a series, it builds on prior parts that introduced the SDK and began initial customization experiments.
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 series, building on the SDK introduction and first part, which covered kicking off customization experiments.
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