A team is comparing two text generation systems to produce a 10-token sequence.
- System A generates tokens one after another. The computation for each token takes 100ms.
- System B is a hypothetical system that can compute all 10 tokens simultaneously, with each token's computation also taking 100ms.
Why does System A take approximately 10 times longer than System B to produce the full sequence?
0
1
Tags
Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
Evaluating a Performance Optimization Strategy
A team is comparing two text generation systems to produce a 10-token sequence.
- System A generates tokens one after another. The computation for each token takes 100ms.
- System B is a hypothetical system that can compute all 10 tokens simultaneously, with each token's computation also taking 100ms.
Why does System A take approximately 10 times longer than System B to produce the full sequence?
True or False: For an autoregressive text generation model, doubling the number of parallel processing units available for computation will cut the total time required to generate a 100-token sequence in half.