Model
A mathematical representation learned from data that can make predictions or decisions on new, unseen data.
In-depth explanation
A model is the output of training a machine learning algorithm on data. It captures patterns and relationships in the training data and can generalize to new examples. Models can range from simple (linear regression) to extremely complex (large language models with billions of parameters). Model performance is evaluated using metrics relevant to the task.
Examples
More in AI Fundamentals
Artificial Intelligence (AI)
The simulation of human intelligence processes by computer systems, including learning, reasoning, and self-correction.
Machine Learning
A subset of AI where systems automatically learn and improve from experience without being explicitly programmed.
Deep Learning
A subset of machine learning using artificial neural networks with multiple layers to model complex patterns.
Algorithm
A set of step-by-step instructions or rules followed to solve a problem or perform a computation.
Training
The process of teaching a machine learning model to make predictions by exposing it to data and adjusting its parameters.
Inference
The process of using a trained model to make predictions on new, unseen data.
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