Which of the following statements BEST characterizes the purpose of embeddings in Large Language Models (LLMs) when processing and generating content?
Embeddings are numerical vector representations of tokens or text that encode learned semantic and linguistic relationships, allowing the model to operate on language mathematically. OpenAI describes an embedding as a vector of floating-point numbers whose distances represent text relatedness.
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