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Supervised Learning

Apprendimento supervisionato

Supervised learning is the machine learning paradigm where the model learns from labeled examples: for every training input, the correct answer (the "label") is known. The model learns the input-output relationship and applies it to new cases.

Definition

Classic examples: classifying email as spam/not-spam, estimating house prices, recognizing objects in photos. It differs from unsupervised learning (discovering structure without labels) and reinforcement learning (learning by trial and error).

Related terms

• Machine Learning
• Reinforcement Learning
• Training Data
• RLHF
• Deep Learning

More in Fondamenti AI

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

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