Emerging technologies in Natural Language Processing (NLP) are
generating substantial breakthroughs across different sectors, notably in healthcare,
where they are transforming patient care, diagnostics, and medical research. By
utilizing the power of transformers and Large Language Models (LLMs) like GPT-3/4
and BERT, NLP is improving text production, contextual comprehension, and the
interpretation of complex medical jargon. These technologies also evolve into
multimodal applications, merging text with visuals and audio for thorough data
processing. In banking and customer service, conversational AI leads to the
development of sophisticated chatbots and emotion-sensitive systems. At the same
time, explainable and ethical NLP provides openness and fairness in decision-making
processes. Domain-specific models are being adapted to address the particular demands
of specialized domains, and the combination of NLP with edge computing allows realtime processing for mobile and IoT devices. Moreover, NLP is breaking down
language barriers with cross-lingual models, supporting low-resource languages, and
encouraging inclusion. As these technologies continue to grow, they are establishing
new norms in human-machine interaction, with substantial implications for tailored
care, efficient operations, and new paths of discovery across numerous industries.
Keywords: BERT, GPT-3/4, Healthcare, Transformers, Large Language Models (LLMs), Natural Language Processing (NLP).
