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4 cards from this section. Quick, good the night before a test.
What is the primary function of hardware accelerators in AI?
Think about what makes calculations faster in AI.
What does inference refer to in AI?
Consider the final steps after training a model.
What is the primary purpose of GPUs in AI?
Think about their original purpose in graphics.
True or False: Inference is only relevant after a model is trained.
Consider the steps involved in deploying a model.
Evaluate the impact of hardware acceleration on the development timeline for a new AI system aimed at real-time facial recognition.
Consider the time savings in terms of training versus inference.
Design an experiment to compare the training times of a model on a CPU versus a GPU, detailing the metrics you would use to measure performance.
What would you focus on to ensure results are conclusive?
6 more questions in this section. Enroll free to practise them all.
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