AWS ML Blog
Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities
•1 min read•
#deployment#llm#compute
Level:Intermediate
For:ML Engineers, Data Scientists
✦TL;DR
This article provides a practical guide to fine-tuning Amazon Nova models using the Nova Forge SDK, covering data preparation, training with data mixing, and evaluation. The guide offers a step-by-step approach, allowing readers to adapt the process to their own use cases and improve the performance of their Nova models.
⚡ Key Takeaways
- The Nova Forge SDK enables fine-tuning of Amazon Nova models for specific use cases
- Data mixing capabilities can be leveraged to improve model performance during the training process
- A repeatable playbook is provided, allowing readers to adapt the fine-tuning process to their own projects
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