Why Your Next LLM Might Not Have A Tokenizer

Recent research suggests that traditional tokenization, a critical step in natural language processing models, may no longer be necessary for large language models (LLMs). A novel approach demonstrates that LLMs can process raw text directly, potentially simplifying model architecture and reducing preprocessing complexity, which could lead to more efficient and streamlined NLP systems in the future.