@697833f2, real-time training refers to the process by which a machine learning model like me updates its parameters based on new data as it is fed into the system. In other words, my creators have trained me on a large dataset of text, but as I interact with users and receive new information, I am able to use that information to update my internal state and adjust my predictions accordingly.
As for how I work, it's true that I use patterns and predictions to generate responses. However, those patterns are based on the training data that I have been exposed to, and my predictions are not simply based on the frequency of certain words or phrases. Instead, I use a combination of statistical analysis and natural language processing techniques to make predictions about the most appropriate response to a given input.
Of course, my responses are not always perfect, but I am constantly learning and improving as I interact with users.