Examtopics

コメント(3)

• 正解だと思う選択肢: A

  A. Embeddings

  Explanation: Embeddings are numerical representations of real-world objects, words, phrases, or concepts in a continuous vector space. They enable AI and Natural Language Processing (NLP) models to understand and process textual information by capturing the semantic relationships and contextual meanings of words and phrases.

  👍 2

  may2021_r2024/12/29

• Explanation:

  Embeddings are numerical representations of real-world objects, concepts, or textual data. In AI and NLP, embeddings map words, phrases, or even entire documents to a high-dimensional vector space. This allows models to capture semantic relationships and improve understanding of the textual information
  

  👍 1

  eesa2024/11/21
• 正解だと思う選択肢: A

  A. Embeddings: Embeddings are numerical representations of words, phrases, or even entire documents. These representations capture the semantic meaning of the real-world objects and concepts and are used by AI and NLP models to improve their understanding of textual information. They help the model interpret and process language in a more meaningful way.

  👍 1

  Jessiii2025/02/11