A. Modern chatbots like ChatGPT understand user prompts through a machine-learning process that involves: 1. Tokenization: Breaking down the user prompt into smaller parts. 2. Processing: Vectorizing the tokens generated in the first step to create a vector embedding using a transformer model. 3. Comparing Inputs: Comparing the new vectors with the training dataset of the chatbot to understand its syntactic and semantic meaning.