This chatbot is one the best AI chatbots and it’s my favorite too. Evidently it is the current winner of Loebner Prize. The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like. The format of the competition is that of a standard Turing test. You can talk with Mitsuku for hours without getting bored. It replies to your question in the most humane way and understands your mood with the language you’re using.
Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.
Semantic Machines solve conversational artificial intelligence. The conversational artificial intelligence interfaces by Semantic Machines will soon enable a natural communication between people and computers. Semantic Machines vision is paving way for conversational computing through development of fundamental artificial intelligence technology. Semantic Machines is currently developing language independent technology platform. The platform will enable computers collaborate, communicate, accomplish tasks and understand goals. Semantic Machines are developing the conversation engine. The conversation engine will extract semantic intent such as text or voice from a natural input. The engine then will spawn a self updating framework that will manage the content and end…
Chatterbot is a machine learning and conversational dialog engine. Chatterbot enables easy generation of automated responses to the use’s input. In order to generate different types of responses, Chatterbot employs use of machine learning algorithms therefore enabling developers automate conversations and create chat bots for users in an easy way. Chatterbot is language independent. The language independent design, enables Chatterbox speak any natural language. Due to Chatterbot’s machine language nature a human agent or developer is also able to improve its knowledge level. This improves Chatterbot’s level of relaying possible responses when it interacts with other sources of informative data…
Wit.ai is a platform that enables developers build applications that users can talk to or text to. Wit.ai uses an extensible natural language platform that empowers developers to build those applications. Wit.ai is able to learn human language and interaction and leverages the community. Wit.ai enables developers create text or voice based bots. Through Wit.ai, humans can now easily chat with bots on any messaging platform they prefer. Hands-free mobiles are now taking over the normal mobile phones and preferred mostly by humans. This is because humans can have the mobile experience while doing other activities such as cooking, working…
1. The chatbot never sleeps: Customer service is all about convenience, which includes 24/7 customer support. A cost-efficient, yet powerful way to provide basic support is through the never-sleeping chatbot. Devine shared an excellent example of this. In the banking industry, Workfusion’s chatbots are trained by using historical conversations and can perform some of the same tasks as a live support center rep such as correcting an invoice, answering basic questions about account balances and more. Customers receive the same level of service they would get from the support rep. The chatbot can recognize human emotions such as anger, confusion, fear and joy. And, as mentioned above, if the chatbot detects that the customer is angry, upset or frustrated, it will seamlessly transfer the interaction to a human to take over and finish assisting the customer.
Chatbots utilize natural language processing (NLP) and speech recognition to understand written and spoken requests; businesses can leverage this technology to automate tasks that formerly required human intervention. Based on a request from a user, the chatbot provides the user with an output, which is a response to the request in text or speech form. With the use of machine learning and deep learning, chatbots can grow intelligently and understand a wider vocabulary and colloquial language, as well as provide more precise and correct responses to requests.
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