Next token prediction is a fundamental concept in natural language processing (NLP) and artificial intelligence (AI), particularly in the context of large language models (LLMs). It involves predicting the next word or token in a sequence based on the preceding context. This technique allows models to generate coherent and contextually relevant text, making it essential for applications such as chatbots, text completion, and machine translation. While effective, traditional next token prediction methods face limitations, including computational costs and the challenge of capturing complex decision-making patterns. Innovations in multi-token prediction aim to address these issues, enhancing the capabilities of LLMs.