SAI

SAI, or Supervised Artificial Intelligence, refers to AI systems trained on labeled data to perform specific tasks by learning from examples. It involves providing the AI with input-output pairs, enabling it to recognize patterns and make accurate predictions or decisions for future similar data. Examples include spam filters, speech recognition, and image classification. SAI is designed to improve its performance over time through ongoing training, making it effective for tasks with well-defined outcomes. It differs from unsupervised AI, which identifies patterns without pre-labeled guidance.