A model is designed to process a continuous, unending stream of input data. At each time step i, it calculates an output that depends on all inputs from step 1 to i. The model's internal state is updated using a method where the state at step i is a function of only the state at step i-1 and the current input at step i. What is the primary implication of this update method for the model's memory requirements as the stream continues indefinitely?
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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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A model is designed to process a continuous, unending stream of input data. At each time step
i, it calculates an output that depends on all inputs from step 1 toi. The model's internal state is updated using a method where the state at stepiis a function of only the state at stepi-1and the current input at stepi. What is the primary implication of this update method for the model's memory requirements as the stream continues indefinitely?Architectural Trade-offs for Long-Sequence Processing
Analysis of Memory Scaling in Sequence Processing