Small models, big results: Achieving superior intent extraction through decomposition

The article discusses a methodology for improving intent extraction in AI systems by using smaller, specialized models through decomposition techniques. This approach aims to achieve better performance than larger, monolithic models by breaking down complex intent recognition tasks into smaller, more manageable components.