5 Simple Ways To Optimize Your Chatbot (HowTo) - The Ape Machine

You see, the way most of these chatbot services have implemented the technology is not at all in line with the latest advances in the technology of bleeding edge chatbot technologies. While many of them would love to make use of character based recurrent neural networks, local attention mechanisms, and generative methods, stability of this technology is just not quite there yet. So, we are left with the solution provided to us: Take the high dimensional space of characters in sentences, and convert it to a low dimensional space, like part of speech tags. Meanwhile you can use pattern matching on the type of tags, frequency of tags, and order of tags to do relatively advanced pattern matching, and get pretty good results, as long as there are not too many patterns flying around in the model. Nevertheless, we have all invested our future endevours into the upcoming A.I. boom, and we want to be part of it right now, deploying our chatbots and getting in while the getting is good.