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Databricks details Test-time Adaptive Optimization, or TAO, a new approach that lets its customers boost LLM performance without the need for clean labeled data (Will Knight/Wired)
Will Knight / Wired: Databricks details Test-time Adaptive Optimization, or TAO, a new approach that lets its customers boost LLM performance without the need for clean labeled data — Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don't have squeaky clean data.
Will Knight / Wired:
Databricks details Test-time Adaptive Optimization, or TAO, a new approach that lets its customers boost LLM performance without the need for clean labeled data — Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don't have squeaky clean data.
