“Top-K, this parameter is crucial in determining the variety of words the model can consider when generating responses. By setting Top-K, you tell the model how many of the most likely words it should feel at each step of text generation. A low value of K, such as K=1, will limit the model to selecting only the most likely word, which may result in more accurate but less creative responses.”