MACHINE LEARNING into a powerhouse technology with far -reaching implications for businesses across the globe .
“ The last 2 years have seen a huge rise due to the Generative Transformer model progress ( driven by huge amounts of computing , data and advancements in techniques to tune models ) in the abilities of NLP ,” explains Brad Mallard , Chief Technology Officer at Version 1 .
Modern NLP systems employ a variety of sophisticated techniques to understand and generate human language . These include large language models ( LLMs ), deep learning algorithms , and advanced neural networks .
These systems analyse vast amounts of textual data , considering context , sentiment , and linguistic nuances to provide human-like responses or extract valuable insights from unstructured information .
This progress has opened up new possibilities for businesses to engage with their data and customers in more natural and intuitive ways .
NLP ’ s performance Text generation , question answering , text summarisation ; text classification and named entity recognition are
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