Machine Learning Boosts AI Performance
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clean dataWired
•Technology
Technology
Databricks Has a Trick That Lets AI Models Improve Themselves
71% Informative
Databricks developed a machine learning trick that can boost the performance of an AI model without the need for clean labelled data.
The method leverages ideas that have helped produce advanced reasoning models by combining reinforcement learning with synthetic training data.
Without well-labelled, carefully curated data, it is challenging to fine-tune a model to perform a specific task.
Frankle says that DataBricks is using the TAO technique to boost the performance of customers’ AI models and help them build their first agents. One customer, which makes a health-tracking app, has found that the TAO approach allowed it to deploy an AI model that was not previously reliable enough. “You want [the app] to be medically accurate,” he says. “This is a tricky problem.”.
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