How Players Help Improve AI
Players contribute to AI development by completing specific in-game tasks that generate data for machine learning models. Examples of tasks include:
Data Labeling: Players help label datasets used for supervised learning.
Pattern Recognition: Players train AI agents to detect specific patterns in images or data streams.
Anomaly Detection: Missions involve identifying outliers in datasets, improving AI model accuracy.
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