This system uses artificial intelligence to determine when a set of business rules, called a rule engine, needs to be updated or replaced. It works by comparing a new AI model, which is designed not to need specific training for its internal parts, against the existing rule engine. The system decides whether to deploy this new AI model based on various criteria, such as differences in their performance, speed, or the number of errors they produce.
Why it matters: Since 2024, the capabilities of generalized AI models and transfer learning have significantly advanced. This makes the development of proxy models that do not require specific component training, as described, more practical and efficient for replacing rule engines.
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