Q14Fundamentals of AI and ML
Which option characterizes embeddings in the context of AI?
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Discussion · 4
D 1
D is the correct answer
D 1
Embeddings are numerical vector representations of data (such as words, sentences, images, or documents) in a lower-dimensional space. They capture the semantic meaning and relationships between items so that similar items are located closer together in the vector space.
When you see embeddings, think:
"Convert data into vectors that capture meaning and similarity."
D 1
What are embeddings in the context of AI? I believe an embedding is a way of representing text, images or audio by a number (numerical vector) for reduced dimensionality
D 1
correct answer is D. A numerical method for data representation in a reduced dimensionality space.