Computer Science · Artificial Intelligence
Which of the following best explains why the Mixture of Experts (MoE) architecture makes Large Language Models (LLMs) cheaper to run at scale?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1MoE permanently compresses model parameters into a single dense network.
- 2MoE shifts most computation to pre-training, eliminating inference costs.
- 3MoE relies primarily on CPU clusters instead of GPUs for inference.
- 4MoE activates only a subset of model parameters per query.✓
Correct answer
MoE activates only a subset of model parameters per query.
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