In the context of LLMs, ______________ is a method used to represent the input text in a way that captures its semantic meaning.

In the context of LLMs (Large Language Models), Word Embeddings is a method used to represent the input text in a way that captures its semantic meaning. Word embeddings are a type of word representation that allows words to be represented as vectors in a continuous vector space. This representation captures the contextual meanings of words based on their usage in large corpora of text, allowing similar words to have similar vector representations. Techniques such as Word2Vec, GloVe, and FastText are commonly used to generate these embeddings, enabling LLMs to perform various natural language processing tasks with greater efficiency and accuracy.