Architectural Trade-offs for Long-Sequence Processing
Compare the memory usage and computational cost per step for Architecture X and Architecture Y as the input stream becomes very long. Which architecture is more suitable for this task, and why?
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
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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