HITL stands for Human-in-the-Loop. It is a machine learning approach that combines human intelligence with artificial intelligence to create learning algorithms. Humans are involved in training, refining, and validating the model, especially when the AI is uncertain or makes errors. This leads to more accurate and reliable AI systems. It is commonly used in areas like image recognition, natural language processing, and data annotation.
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