Home > AI Solutions > Artificial Intelligence > White Papers > Rethinking Hierarchical Text Classification: Insights from Multi-Agent Experiments with Small Language Models > Overview
The Dell SOAS team conducted a series of experiments to explore various agentic workflows for the hierarchical text classification task. The development environment consisted of:
The following sections of this paper describe these experiments along with the key learnings from each experiment, showcasing the team’s approach to developing a multi-agent system for complex technical support case classification.