8/14/2023 0 Comments Create chatbot with google cloud![]() ![]() NLU helps computers understand, process, and generate our language as well as we do. This is where Natural Language Understanding (NLU) comes into play. It would be highly unmaintainable, let alone downright impossible at times. Now imagine the ordeal you would have to go through if you were to hard code all of these different ways your users can ask for this same information. As an example, you can ask Siri about Mount Everest by saying, “Hey Siri, how high is Mount Everest?” Your cousin, on the other hand, could ask the same question in a very different way and tone: “Hey Siri, what do you know about Mount Everest’s height?” Similarly, it can be asked in various other ways like, “Everest’s height?”, “Tell me how high is Mount Everest?”, “How high can Everest be?” and so on. Since people can ask questions in a variety of ways, it is exceptionally hard for machines to learn to decipher each of those new permutations. But in reality, that’s just scratching the surface. How you converse with Amazon’s Alexa, Microsoft’s Cortana, and Apple’s Siri on your phone seems like a pretty simple drill – you just inquire about something and these smart devices respond to you. It requires a lot of conversation experience to achieve that. ![]() Trying to train a machine to have a conversation is a very difficult and tedious task. One only comes to value this blessing once they experience teaching a machine to have a conversation. The fundamental reason for this lies in our intrinsic human nature – it’s part of who we are! We comprehend it and all the nuances around the conversation very easily. For us humans, having a conversation with one another is a natural part of our daily lives. ![]()
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