The TAO of data: How Databricks is optimizing AI LLM fine-tuning without data labels
Alibabas ZeroSearch lets AI learn to google itself slashing training costs by 88 percent Not to mention, a robust prompt architecture is often necessary to make optimal use of the outputs of fine-tuning anyway. While fine-tuning involves modifying the underlying foundational LLM, prompt architecting does not. If this proves inadequate (a minority of cases), then…