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Describe a time you had to explain a complex AI concept to a non-technical audience.
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Answer Posted / Arjun Kumar Sharma
One example is explaining the concept of deep learning to a group of business executives. I started by describing how traditional machine learning models require manual feature engineering, which can be time-consuming and error-prone. Then, I explained that deep learning models automatically learn features from raw data, making them more efficient and accurate. I used simple analogies, such as comparing a deep learning model to a child learning to recognize objects by looking at many examples, to help the audience understand the concept.
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