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Explaining Training Efficiency
A machine learning team is training a massive language model. Instead of using a single, powerful supercomputer, they use a network of hundreds of standard computers working together. In your own words, explain the fundamental principle that allows this multi-computer approach to complete the training process more efficiently.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Comprehension in Revised Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Types of Parallelism in LLM Training
Goal of Parallel Processing: Linear Scalability
Complexity of Distributed Training
A research lab is training a language model so large that it would take several years to complete on a single computer. To speed up the process, they decide to use a cluster of 1,000 interconnected computers. Which of the following statements best analyzes the fundamental principle that allows this cluster to significantly reduce the training time?
Evaluating a Training Strategy
Explaining Training Efficiency