How do AI Engineers optimize algorithms for performance and scalability?
The question is about AI Engineering .
AI engineers speed up algorithms and help them manage more data by redesigning, reducing complexity, and implementing parallel processing. They use tools like TensorFlow and PyTorch to maximise the potential of GPU or TPU hardware. Techniques such as hyperparameter tuning, model pruning, and quantisation make models smaller and more capable of scaling across different systems and loads.
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