In AI, an attractor refers to a set of states or patterns toward which a system tends to evolve, regardless of its initial state, often used in the context of machine learning and dynamical systems. Attractors help describe the stable outcomes or behaviors a model might settle into after undergoing training or various iterations of adjustment. In practical AI and machine...
The Role of Attractors in AI and Machine Learning.
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