The Biggest Challenges of Data Labelling for AI Training
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Data labelling is the process of tagging or annotating raw data, like images, text, or sound, so that an AI model can learn from it. Itu2019s a fundamental step in the training of machine learning algorithms and plays a crucial role in the AI development cycle. But it's not as easy as it sounds; here are the biggest challenges facing data labelling for AI training.
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The Biggest Challenges of Data Labelling for AI Training
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