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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 don’t have squeaky clean data.
The technique offers a rare look at some of the key tricks that engineers are now using to improve the abilities of advanced AI models, especially when good data is hard to come by. The latest models from OpenAI, Google, and DeepSeek all rely heavily on reinforcement learning as well as synthetic training data. Reinforcement learning and synthetic data are already widely used but combining them in order to improve language models is a relatively new and technically challenging technique.
Or read this on Wired