Advanced guide covers smart data strategies for supervised fine-tuning, from learning curves to synthetic augmentation. Part two of the series explains evaluating data readiness, selecting high-value subsets, and mixing data sources to avoid catastrophic forgetting. Practical for developers training custom LLMs.
Opening Kapyn…