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Actual exam question from NVIDIA's NCA-GENL
Question #: 1
Topic #: 1
[All NCA-GENL Questions]

Which of the following best describes Word2vec?

  • A. A programming language used to build artificial intelligence models.
  • B. A statistical technique used to analyze word frequency in a text corpus.
  • C. A deep learning algorithm used to generate word embeddings from text data.
  • D. A database management system designed for storing and querying word data.
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Suggested Answer: C 🗳️

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nickolaj
1 month, 2 weeks ago
Selected Answer: C
Word2vec is a technique developed by Google that uses shallow neural networks to learn vector representations (embeddings) of words, capturing their semantic relationships based on context in large text corpora.
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