In natural language processing, candidate tokens are the specific words or sub-words a model evaluates as possible next outputs during text generation. By scoring these options, the AI selects the most contextually relevant response. Developers use this to fine-tune creativity or accuracy, while businesses benefit from more precise, tailored AI interactions, leading to better user engagement and efficient automation.
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