Token amplification increases the expressive power of language models by expanding individual tokens into richer, more nuanced representations. It enhances understanding of context and subtlety, benefiting developers, researchers, and businesses building more accurate AI systems. This technique improves performance in tasks like translation, summarization, and sentiment analysis without requiring larger models.
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