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Answer: Embeddings
Embeddings are numerical vector representations that capture semantic meaning of words, phrases, or concepts in AI and NLP models. They transform textual information into mathematical representations that machine learning algorithms can process, enabling models to understand relationships between words and concepts based on their contextual usage.
Author: Ritesh Yadav
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Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?
A
Embeddings
B
Tokens
C
Models
D
Binaries