From the source
Advanced data preparation strategies for supervised fine-tuning, covering learning curve analysis, data subset selection, augmentation, and mixing, with references to Amazon Nova customization findings.
From the source
From the source
Advanced data preparation strategies for supervised fine-tuning, covering learning curve analysis, data subset selection, augmentation, and mixing, with references to Amazon Nova customization findings.
From the source
This second post covers four advanced strategies: evaluating data readiness with learning curve analysis, data subset selection and filtering, data augmentation, and data mixing.
aws.amazon.com