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What is the purpose of vector embeddings in a large language model (LLM)?

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What is the purpose of vector embeddings in a large language model (LLM)?

A.

Splitting text into manageable pieces of data

B.

Grouping a set of characters to be treated as a single unit

C.

Providing the ability to mathematically compare texts

D.

Providing the count of every word in the input

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  • Update on: Feb 5, 2026
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TESTED 05 Feb 2026