Databricks Has a Trick That Lets AI Models Improve Themselves
Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they ...
The TAO of data: How Databricks is optimizing AI LLM fine-tuning without data labels
New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.
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Databricks’ TAO method to allow LLM training with unlabeled data
TAO or Test-time Adaptive Optimization, according to Databricks, provides an alternative to fine-tuning model by leveraging test-time compute and reinforcement learning (RL) to teach a model to do ...