Databricks News: Databricks Introduces TAO For Model Tuning

Databricks Unicorn News - March 25, 2025

Databricks has announced Test-time Adaptive Optimization (TAO), a new method for enhancing AI model quality using unlabeled data. This innovative approach reduces costs and improves performance without human-labeled data, specifically for tuning Llama models. Available in preview, TAO marks a significant advancement in AI model tuning.

Sources
https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data

Outline
(00:00:00) Introduction
(00:00:27) Databricks Develops TAO for Efficient LLM Training Without Labeled Data

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