Large Language Models (LLMs) are advanced AI systems that can understand human language and generate coherent text. They work through word vectorization, which transforms words into numerical lists for computation. Two popular training methods for LLMs include masked language models, where the AI fills in missing words in a sentence, and predictive language models, where the AI guesses the next word based on previous ones. The "large" aspect of LLMs refers to their number of parameters (at least 100 billion), which allows them to make accurate predictions about word placement in sentences. With these powerful tools, users can explore a wide range of creative applications and possibilities.