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Traditionally, language models are trained to predict the next word in a sentence (top part of Figure 2, in blue), but they can also predict hidden (masked) words in the middle of the sentence, as in Google's BERTmodel (top part of Figure 2, in orange). So knowledge in language models is not the most accurate and reliable.
Generator The generator is typically a language model, such as GPT or BERT, fine-tuned to produce coherent and contextually accurate text. This collaboration bridges the gap between static knowledgemodels and dynamic query resolution, ensuring relevance and fluency.
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