Advancements in Natural Language Processing with Transformer Models
Keywords:
nlp, transformers, context, human-computer interaction, algorithmsAbstract
This article investigates recent advancements in Natural Language Processing (NLP) driven by transformer models. We explore their underlying architecture and highlight improvements in understanding contextual relationships in text. Our study also assesses different transformer-based algorithms, comparing their efficiency and accuracy in various NLP tasks. The implications for developing more intuitive human-computer interfaces are considered as a future direction.
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