Chinese models
When a smaller model is enough for message classification
A narrow classification task may need discipline more than extensive generation.
Constrain the decision
Define categories such as pricing, order tracking, complaint and unclear. Give boundary examples for similar cases. This is a useful smaller-model evaluation task without assuming equivalent performance in open-ended conversation.
Handle ambiguous cases
A message can combine price objections and a delayed order. Allow multiple labels or review instead of forcing one wrong answer. Validate against human labels rather than trusting a confidence number generated by the model.
Measure category-level quality
Track accuracy per category, review rates and costly misroutes. Missing an urgent complaint differs from escalating a general query. Test expected volume and refresh examples when services or customer vocabulary change.
Educational content prepared with AI assistance. Proposed examples illustrate an approach and do not guarantee results. Our editorial approach