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Real-Time Applications of Recurrent Models
Because recurrent models process data sequentially and maintain a fixed-size recurrent state, they are highly suitable for real-time learning environments. In these scenarios, data arrives continuously in a stream, and the model can generate predictions at any given time step based solely on its current state.
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Foundations of Large Language Models
Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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A recurrent model with an internal state
his processing a sequence of inputs. The state is updated at each step according to the ruleh_i = f(h_{i-1}, input_i), whereh_{i-1}is the state from the previous step andinput_iis the current input. When the model processes the third input in a sequence, what information does the termh_2(the state after the second input) represent in the computation for the new stateh_3?Analysis of Sequential Information Processing
A neural network processes a sequence of inputs by updating a hidden state
hat each stepiusing the formula:h_i = f(h_{i-1}, input_i). Which component in this formula is directly responsible for carrying forward a compressed summary of the entire sequence processed up to the previous step (i-1)?Recurrent Computation of and in Linear Attention
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