How do AI Engineers optimize algorithms for performance and scalability?
The question is about ai
Answer:
AI Engineers optimize algorithms for both performance and scalability through the reparation of the algorithm architecture, reduction of computational complexity, and application of parallel processing techniques. AI Engineers also make use of libraries such as TensorFlow or PyTorch to ensure that the codes are optimized in realizing full hardware acceleration available on GPUs and TPUs.
Other things they do are hyperparameter tuning, model pruning, and quantization methods that downsize the models, making sure they scale well on different platforms with workloads.
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