Llama 4 Maverick LLM API (x402 Gateway)

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      "content": "Explain the difference between supervised and unsupervised learning in one paragraph."
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  "content": "Supervised and unsupervised learning are two distinct approaches to machine learning. Supervised learning involves training a model on labeled data, where the correct output or response is already known, allowing the model to learn from the examples and make predictions on new, unseen data. In contrast, unsupervised learning involves training a model on unlabeled data, where the model is tasked with discovering patterns, relationships, or groupings within the data on its own, without any prior knowledge of the correct output. This fundamental difference in approach enables supervised learning to be used for tasks like classification and regression, while unsupervised learning is often used for tasks like clustering, dimensionality reduction, and anomaly detection."
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