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  2. Learning log - Wikipedia

    en.wikipedia.org/wiki/Learning_log

    Learning Logs are a personalized learning resource for children. In the learning logs, the children record their responses to learning challenges set by their teachers. Each log is a unique record of the child's thinking and learning. The logs are usually a visually oriented development of earlier established models of learning journals, which ...

  3. Learning pyramid - Wikipedia

    en.wikipedia.org/wiki/Learning_pyramid

    The learning pyramid (also known as “the cone of learning”, “the learning cone”, “the cone of retention”, “the pyramid of learning”, or “the pyramid of retention”) is a group of ineffective learning models and representations relating different degrees of retention induced from various type of learning. Description

  4. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    e. In mathematics, the logarithm is the inverse function to exponentiation. That means that the logarithm of a number x to the base b is the exponent to which b must be raised to produce x. For example, since 1000 = 103, the logarithm base of 1000 is 3, or log10 (1000) = 3.

  5. Logit - Wikipedia

    en.wikipedia.org/wiki/Logit

    Logit. Plot of logit ( x) in the domain of 0 to 1, where the base of the logarithm is e. In statistics, the logit ( / ˈloʊdʒɪt / LOH-jit) function is the quantile function associated with the standard logistic distribution. It has many uses in data analysis and machine learning, especially in data transformations .

  6. Claude (language model) - Wikipedia

    en.wikipedia.org/wiki/Claude_(language_model)

    The method, detailed in the paper "Constitutional AI: Harmlessness from AI Feedback" involves two phases: supervised learning and reinforcement learning. In the supervised learning phase, the model generates responses to prompts, self-critiques these responses based on a set of guiding principles (a "constitution"), and revises the responses.

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