It's because an LLM is essentially a probability matrix. You type a prompt, then it calculates what's the probability of getting a next word and so on, eventually forming a sentence. The probability learned is based on the training data.
Because of the underlying probability model, it's not going to be 100% deterministic. Plus a model like ChatGPT purposefully have "temperature" parameter that will further add randomisation to the whole process.
My answer is based on this paper if you're interested to read more: The Matrix: A Bayesian learning model for LLMs, https://arxiv.org/abs/2402.03175
Because of the underlying probability model, it's not going to be 100% deterministic. Plus a model like ChatGPT purposefully have "temperature" parameter that will further add randomisation to the whole process.
My answer is based on this paper if you're interested to read more: The Matrix: A Bayesian learning model for LLMs, https://arxiv.org/abs/2402.03175