A Method for Improving the Quality of Multiclass Classification Using LLMs
摘要
The quality of classification using large language models in automatic mode decreases significantly as the number of alternatives increases. The results of an experimental study of this problem are presented using the example of automatically assigning advertisements to predefined categories. An approach that combines prompt engineering methods and pairwise comparisons is proposed.