Speculative decoding optimizes performance in natural language processing by leveraging a two-model system: a quick draft model for rapid token generation and a precise target model for verification.
By using a draft model to propose tokens and a target model to validate those tokens, speculative decoding strikes a balance between efficiency and the quality of outputs, especially in real-time applications.
#ai-techniques #natural-language-processing #speculative-decoding #computational-efficiency #model-optimization
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