How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
Posted by AISignal
Specializing the vocabulary of small language models could reduce inference costs substantially in real applications. This matters for builders evaluating deployment efficiency and for people tracking practical ways to optimize model serving. Have you seen vocabulary specialization produce meaningful cost or performance gains in your own work?