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Deep Learning & Generative AI

Natural Language Processing Interview Questions and Answers

Interview questions on Natural Language Processing Interview Questions and Answers.

2 questions

All subtopics RNNs, LSTMs & Language Models Density Estimation & Training Paradigms Word Embeddings TF-IDF & Cosine Similarity N-Gram Language Models

N-Gram Language Models

Q1. Should you choose an N-Gram or Neural Language Model for a tiny dataset (~10,000 tokens)?

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N-Gram Language Models

Q2. Does increasing context length $N$ in N-gram models always improve performance?

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