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Fast and EnergyEfficient Inference for AttentionBased Natural Language Processing ModelsbyAli Heidi Adela thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Department
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Fast and energy-efficient inference refers to the ability to make quick predictions or decisions using machine learning models while minimizing energy consumption during the process.
Entities or organizations utilizing machine learning models in their operations may be required to report on fast and energy-efficient inference, especially if mandated by regulatory authorities.
To fill out fast and energy-efficient inference, you typically need to provide relevant data, including model performance metrics, energy usage statistics, and compliance with established guidelines.
The purpose of fast and energy-efficient inference is to enhance decision-making speed while reducing the environmental impact associated with energy consumption in computing.
Information that must be reported includes energy consumption data, inference speed measurements, compliance status with regulations, and any relevant operational metrics.
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