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  2. Overfitting - Wikipedia

    en.wikipedia.org/wiki/Overfitting

    Underfitting is the inverse of overfitting, meaning that the statistical model or machine learning algorithm is too simplistic to accurately capture the patterns in the data. A sign of underfitting is that there is a high bias and low variance detected in the current model or algorithm used (the inverse of overfitting: low bias and high variance).

  3. Hallucination (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Hallucination_(artificial...

    In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, [1] [2] confabulation [3] or delusion [4]) is a response generated by AI that contains false or misleading information presented as fact.

  4. Early stopping - Wikipedia

    en.wikipedia.org/wiki/Early_stopping

    In machine learning, early stopping is a form of regularization used to avoid overfitting when training a model with an iterative method, such as gradient descent. Such methods update the model to make it better fit the training data with each iteration.

  5. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  7. Explainer-What is DeepSeek and why is it disrupting the AI ...

    www.aol.com/news/explainer-deepseek-why...

    Chinese startup DeepSeek's launch of its latest AI models, which it says are on a par or better than industry-leading models in the United States at a fraction of the cost, is threatening to upset ...

  8. Random forest - Wikipedia

    en.wikipedia.org/wiki/Random_forest

    [1] [2] Random forests correct for decision trees' habit of overfitting to their training set. [ 3 ] : 587–588 The first algorithm for random decision forests was created in 1995 by Tin Kam Ho [ 1 ] using the random subspace method , [ 2 ] which, in Ho's formulation, is a way to implement the "stochastic discrimination" approach to ...

  9. 'I prefer across the board': Trump's top tariff man favors ...

    www.aol.com/finance/prefer-across-board-trumps...

    American AI company OpenAI said it is investigating whether DeepSeek trained its new chatbot by querying OpenAI's models. "They stole things, they broke things, they have taken our IP," Lutnick ...