Token Limit

Token limit refers to the maximum number of tokens that a model can process in a single input or output sequence. Tokens can represent words, characters, or subword units, depending on the model's design. Understanding token limits is crucial for optimizing the performance of language models, as exceeding these limits can lead to truncated outputs or errors. Common use cases include text generation, translation, and summarization, where managing token count is vital for achieving coherent results. Developers must be mindful of token limits when designing applications that leverage AI models to ensure efficient utilization and accurate outputs.