Actions
Actions refer to the steps taken by an AI system or algorithm in response to a given input or set of inputs. These actions can range from simple outputs such as a prediction or classification, to more complex actions such as generating new data or making decisions based on a set of rules or criteria. In machine learning, actions are typically determined by the model's parameters and the input data, and are optimized through a process of training and validation. In reinforcement learning, actions are determined by an agent's policy, which is learned through trial and error interactions with an environment. In both cases, the quality of the actions taken by an AI system is evaluated based on a set of performance metrics, such as accuracy, precision, recall, or reward.
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