AI Based Chatbot to Answer FAQs

Artificial Intelligence and Machine Learning

It is the era of the intelligent machines now. Artificial intelligence and machine learning have advanced. Computers have started to impersonate people using deep learning. Talkative software agents that are actuated by natural Chatbots, also known as language processing, are a great example of a machine like that. This essay offers a survey on methods used and chatbots that are already in use. It talks about the Comparative strengths, weaknesses, and limitations of the current chatbots. Comparing features and technical specifications of the 11 most popular chatbot application platforms. According to research, 75% of customers have had unfavorable interactions with customer service, and it is still challenging to make remarks that are profound, insightful, and long-lasting. Before then, handwritten procedures, rules, and models were used to create chatbots. These models were quickly replaced by end-to-end neural networks as deep learning gained popularity. A strong generative-based approach for the construction of conversational answers challenges is Deep Neural Networks in particular. This study conducted a thorough investigation of recent reviewing more than 70 recent works in the field of chatbot literature. The study compares various academic works using a method. This study also talked about the reasons that current chatbot models don't take into account when creating responses and how this affects the conversation's tone.

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