Notes:
Data plays a crucial role in the field of artificial intelligence (AI). AI algorithms and systems rely on data to learn and make decisions, and the quality and quantity of data available to an AI system can have a significant impact on its performance.
In order for AI systems to be effective, they need to be trained on large amounts of high-quality data. This training data is used to train the AI algorithms and models, and it is used to help the AI system learn about the domain or task that it is being applied to. The more data that is available to an AI system, the more accurate and reliable its predictions and decisions will be.
In addition to being used for training, data is also essential for evaluating the performance of AI systems. By comparing the predictions and decisions made by an AI system to the ground truth data, researchers and developers can assess the accuracy and reliability of the AI system, and can identify areas where it can be improved.
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