Limited Memory

What is limited memory?

Limited memory is a type of artificial intelligence. It refers to an AI’s ability to store previous data and predictions, using that data to make better predictions. With limited memory, ML architecture becomes a little more complex. Every ML model requires limited memory to be created, but the model can get deployed as a reactive machine type, which is the most basic and simplest type of AI.


What are the significant kinds of ML models that achieve limited memory?

  • Reinforcement Learning:These models learn to make better predictions through many cycles of trial and error. This kind of model teaches computers how to play games like chess.
  • Long Short-Term Memory (LSTM):For predicting the next elements in a sequence, the LSTM tags more recent information as more critical and items further in the past as less important.
  • Evolutionary Generative Adversarial Networks (E-GAN):The E-GAN has memory such that it evolves at every evolution. The next model evolves with modifications and mutates towards the path its ancestor found in error.

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