AI / ML
With AI and NLP scrambling to the innovative frontier of tech , we look at how the two combine to inform the newest GPT iteration for nextgen chatbots
WRITTEN BY : MARCUS LAW
Since OpenAI announced the launch of ChatGPT in December 2022 , the rapidly-advancing technology has dominated headlines globally . Today , the technology is being used by businesses to assist with crucial tasks , from enterprise support and customer interaction to product development . Capable of generating human-sounding text , the tool is a powerful one for the next generation of chatbots and , by proxy , omnichannel customer communications .
Large language models like GPT-4 or Google ’ s LaMDA use Natural Language Processing ( NLP ) to understand and respond to human-generated text inputs in a conversational manner . A subfield of AI that focuses on enabling computers to process and understand human language , these models utilise NLP techniques to analyse and interpret the text input it receives – including tasks such as part-of-speech tagging , named entity recognition , sentiment analysis , and language modelling . These NLP techniques help related tools understand the meaning , context , and intent behind the text input , allowing them to generate relevant , coherent responses in a conversational style .
With the field of NLP continuing to advance rapidly , the integration of GPT technology is propelling the next generation of chatbots to new heights . With their ability to understand and generate human-like text , GPT-powered chatbots are revolutionising customer interactions , virtual assistants , and other conversational applications .
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