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Traditional Vs Adaptive AI

Submitted by itechindia on Sat, 03/18/2023 - 09:35

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Adaptive AI: Real-time machine learning is a method of training machine learning algorithms with current data (ML). Compared to the more conventional method, which entails offline ML model training with a batch of historical data, this is significantly more sophisticated. Adaptive AI is another name for this use case for real-time ML model training.

Traditional AI: Conventional AI: Although it still has issues, traditional artificial intelligence (AI) has made great strides since its conception. Regardless matter how swiftly they could execute computations; mainframe computers were only as sophisticated as the programmers who accessed the data and programmed how to look at it. The artificial intelligence (AI) programmer lacked the cognitive ability to properly comprehend the data it was viewing.

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