How does the use of temperature, top-p, presence penalty, and frequency penalty specifically impact the accuracy and fluency of the text generated by GPT-3, and what are some real-world applications where these parameters are particularly relevant?

In terms of language processing and output quality, what specific differences can be observed between gpt-3.5-turbo-0301 and gpt-3.5-turbo?