Supervised learning
Machine learning paradigm
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- Artificial Intelligence (1)
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Large Language Models (1) · Post-training (1) · arXiv (1) · WMSS framework (1) · Weak agents (1) · Supervised learning (1) · AI research (1)
📖 Key Information
In machine learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output based on example input-output pairs. This process involves training a statistical model using labeled data, meaning each piece of input data is provided with the correct output. For instance, if you want a model to identify cats in images, supervised learning would involve feeding it many images of cats (inputs) that are explicitly labeled "cat" (outputs).
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People and organizations frequently mentioned alongside Supervised learning:
- 🌐 Large language model (1 shared articles)
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