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Autoregressive Conditional Probability

In sequential modeling, autoregressive conditional probability refers to the likelihood of a specific element occurring in a sequence given all the elements that appeared before it. For a sequence of observations at time steps tt, it is the probability distribution over the subsequent value xtx_t given the history of previous values, formally expressed as the conditional probability P(xtxt1,,x1)P(x_t \mid x_{t-1}, \ldots, x_1).

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Updated 2026-05-13

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Ch.2 Generative Models - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

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