Self-Supervised Learning – a machine learning paradigm where models generate their own labels from raw data, reducing the need for human-labeled datasets and improving efficiency in AI training.
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AI • Machine Learning • Tech on Instagram: "Self-supervised learning is a technique where a model learns useful representations from unlabeled data by creating pretext tasks. These tasks are designed so that the input data provides its own supervision signal. For example, in natural language processing, models like BERT use masked language modeling, where some words are hidden and the model learns to predict them based on context. In computer vision, a model might be trained to predict the rotat
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