Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion

Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion explores A training-free multi-agent LLM framework that generates interpretable, domain-specific weather captions by fusing textual gradients from specialized agents.. Commercial viability score: 7/10 in Multi-Agent LLM.