Chatbots

NLU systems improve over time Measured by accuracy of response, the systems improve when they are repeatedly trained. The larger the date set that is fed to train them the better is the accuracy of the model since it has covered all test cases that exists in the real world. A learning system can never […]

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NLU aspect Getting the NLU aspect is key to designing a conversation experience for a bot. If your bot cannot understand a sentence or the underlying intent it will lead to a default or a very frustration experience for the user. The elements of Natural Language Understanding (NLU) is the next step in our journey […]

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The introduction of pattern matching, stemming and lemmatisation techniques to Generation 1 bots led to bots being more “intelligent”. While they still remained as more of lookup bots or pattern matching bots, the advances and introduction of algorithms that help improve the interaction experience helped bots mature more on its evolutionary roadmap. Let’s look into […]

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In the previous blog, we understood the advances in algorithmic science to improve accuracy of Natural Language Processing (NLP) constructs and how vector scoring could be improved. We trace the evolution path further in this blog for base elements of the network and how adding a memory for long term dependencies optimise it further. Evolution […]

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Chatbots are artificial-intelligence powered applications that are very much needed in the auto dealership industry. Chatbots are designed to mimic conversations with real people with the aim of providing more personalised service. When you want to buy a car, you have to search all over the internet by reading various reviews, jumping from one website […]

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Congratulations on building your Facebook Messenger bot. We welcome you to the world of bots! If you have previous experience in building and managing bots then mostly you are all caught up. In case you are new, you must be wondering how to go about it. Or how to begin telling the world about your […]

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