Ramp uses Thompson Sampling, a form of reinforcement learning, to improve the success rates of bank account linking. This algorithm dynamically balances exploration and exploitation, adapting to new data continuously. The implementation led to a significant increase in successful bank linkages and reduced the need for manual
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