{"id":754,"date":"2023-11-23T07:38:34","date_gmt":"2023-11-23T07:38:34","guid":{"rendered":"https:\/\/fas.vau.ac.lk\/fars2023\/?p=754"},"modified":"2024-02-29T10:32:00","modified_gmt":"2024-02-29T10:32:00","slug":"ai-chatbot-in-2024-a-step-by-step-guide","status":"publish","type":"post","link":"https:\/\/fas.vau.ac.lk\/fars2023\/?p=754","title":{"rendered":"AI Chatbot in 2024 : A Step-by-Step Guide"},"content":{"rendered":"

Build NLP Chatbots Without Writing A Single Line Of Code Tars Chatbots<\/h1>\n<\/p>\n

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NLP-driven intelligent chatbots can, therefore, improve the customer experience significantly. Customers all around the world want to engage with brands in a bi-directional communication where they nlp chatbot<\/a> not only receive information but can also convey their wishes and requirements. Given its contextual reliance, an intelligent chatbot can imitate that level of understanding and analysis well.<\/p>\n<\/p>\n

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Artificial intelligence has come a long way in just a few short years. That means chatbots are starting to leave behind their bad reputation \u2014 as clunky, frustrating, and unable to understand the most basic requests. In fact, according to our 2023 CX trends guide, 88% of business leaders reported that their customers\u2019 attitude towards AI and automation had improved over the past year.<\/p>\n<\/p>\n

Let customers tell you what they want in their own words<\/h2>\n<\/p>\n

While rule-based chatbots have their place, the advantages of NLP chatbots over rule-based chatbots are overrunning them by leveraging machine learning and natural language capabilities. This kind of problem happens when chatbots can\u2019t understand the natural language of humans. Surprisingly, not long ago, most bots could neither decode the context of conversations nor the intent of the user\u2019s input, resulting in poor interactions.<\/p>\n<\/p>\n