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Developed by Google Brain, TensorFlow is an open-source library that is used for making numerical computations. It being Python friendly, TensorFlow is used extensively by developers in Machine Learning applications.
Machine Learning is indeed difficult to master. However, with Google Brain’s TensorFlow, developers can easily acquire data and training models, serve predictions and even refine results.
This tool bundles together several Artificial Learning and Deep Learning models and algorithms and makes them useful by way of a common metaphor. Deep Learning models are also called Neural Networks and are inspired by the complex neural networks of the human brain.
The architecture of TensorFlow is quite flexible. It is this flexibility that allows developers to deploy chatbots on several CPUs or GPUs like desktops, mobiles, and servers. Several Fortune 500 firms like Google and Intel use TensorFlow in various applications.
In their earlier days, chatbots worked in a limited number of ways. However, they could not drive the conversation to a logical conclusion.
These computer programs worked according to the “If/Then” principle, which means that the responses of a chatbot depended on a very limited number of options. With TensorFlow, the responses can be numerous. Therefore, when a customer says, “How are you?”, the bot might very well respond, “I am very well” or “I am very well, thank you”.
It is this dynamism of the responses that makes these computer programs a very hot property in the years to come.
Ted Livingston, the founder of Kik, says that in the not-so-distant future, chat apps will be the new browsers while chatbots will function as websites.
He should know much more about these bots than anyone else. After all, he is the founder of Kik, a chat platform that has 240 million users, of whom 40% are American teenagers. Most of his subscribers use bots to ask for a product or service, answer reviews, and do various stuff. Chatbots can make the job of buying products or services online simpler.
In the normal course of things, people simply head over to a website, choose their product, and then load the cart. In the chatbot scenario, the customer fills out a small form on the website, and while he is answering those questions, the bot is analysing the answers and within a few seconds is ready with its product recommendation!
Secondly, why chatbots are a hot property these days is that they do not compete for your mobile space as other apps do. Thanks to TensorFlow Deep Learning, bots play out within the messenger apps that you have already downloaded.
Marketers and technologists agree that the world of marketing is surely going to change with the new generation of chatbots. People will buy more products and services on their messenger platforms in the near future. Customer service will become more human and efficient. In addition, more and more non-technologists will start building their own chatbots.