AI / ML
Transformers
, explained : Understand the model behind GPT , BERT , and T5
WATCH NOW if a customer can ’ t get simple queries answered , updates on orders or speedy resolutions to their issues , they will leave feeling frustrated and disappointed with the brand ,” he asserts . “ The old adage that it takes months to win a customer and seconds to lose them has never been more true in the digital age , where customers expect instant gratification and fast responses .”
AI driving a new generation of chatbots The widespread interest in large language models like GPT-4 has created huge gains in interest around NLP and deep learning , according to O ’ Reilly ’ s annual Technology Trends for 2023 report , which examines the most sought-after technology topics .
The report shows that developer interest in generative AI is gaining momentum , with NLP being the most significant year-overyear growth among AI topics . In the world of NLP chatbots , one of the main roles that GPT tech is playing is improving the conversational quality and effectiveness of chatbot interactions . GPT-based chatbots can understand and respond to a wide range of queries and prompts from users , providing relevant and contextually appropriate responses . This has significantly enhanced the user experience , making chatbot interactions more human-like , engaging , and satisfying .
“ The combination of chatbots and AI allows for far more advanced bots that can mimic human conversations , leveraging NLP , Natural Language Understanding ( NLU ), AI and ML technology to understand the intent of a query and offer solutions ,” Crowley comments .
“ Thanks to AI , chatbots are transforming from rule-based solutions to virtual agents with strong conversational intelligence ,” adds Raffaele Ferrara , Product Marketing Manager at Odigo . “ These solutions can handle even more complex use cases thanks to advanced NLU capabilities : handling
112 June 2023