- Contextualized embeddings: The system employs contextualized word embeddings, such as BERT or RoBERTa, which capture the nuances of language and provide a rich representation of the input prompt. These embeddings are used to generate responses that are sensitive to the context and meaning of the input text. For instance, if the input prompt uses a specific phrase with a particular connotation, the system will recognize this and use it to inform its response.
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