Quantization for LLM Inference

Pruning for LLM Inference

Knowledge Distillation for LLM Inference

Mobile AI Feature Deployment Strategy

A company develops a large language model for a new line of smart home devices with limited processing power. To ensure the model runs efficiently on these devices, they apply a method that reduces the model's overall size. After launch, they confirm the model responds quickly and uses minimal energy. However, they also receive user feedback noting that the model's responses are occasionally less accurate than the original, larger version tested in the lab. Which statement best evaluates this situation?

Match each core concept related to reducing a large language model's size for more efficient operation with its corresponding description.