What is NLG and NLU?
Nlp Interview Questions
431 nlp interview questions shared by candidates
Do you have any experience with cloud?
general NLP/ML related questions
The interview process consists of a mix of basic algorithmic questions and in-depth knowledge inquiries. It's not the typical, routine 'leetcode' style problem-solving that one might expect. Rather, it's a creative process that encourages innovative thinking and problem-solving strategies. Despite its challenges, it remains an enjoyable experience overall. This balance of rigorous technical examination and creativity makes it a unique and exciting process that goes beyond the usual coding interview experience.
Describe NLP, Neural Networks and Machine Learning.
Questions on cutting edge NLP techniques, Deep learning and ML algorithms like Random forest
1. What is the Hidden Markov Model? 2. What do you know about Q-Learning?
Bitwise operations
Explain how a data point is processed in a transformer. Tell about a paper you studied and enjoyed.
He: what is IDCNN? Me: it is a CNN based architecture that is used in NER, it is based on dilated convolutions. He: why for sequence labelling use a CNN architecture? Me: because a CNN based architecture is parallelizable so the processing will be faster in contrast to RNN based architecture which is sequential. But I’ve seen in the littérature that generally RNN based+ CRF give better performance. He: why? Me: I’ve not seen formal explanations, all what I ve seen is reported empirical results that show that better performance is given by RNN+ CRFHe: No because RNN catch the long sequence dependencyMe: the IDCNN I just explained catch also long term dependency He: how ? Me: by dilated convolutions as I explained before. He: ok.
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