FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning

In this episode, we dive into FISHNET, an advanced multi-agent system transforming financial analysis. Unlike traditional approaches that fine-tune large language models, FISHNET uses a modular structure with agents specialized in swarming, sub-querying, harmonizing, planning, and neural-conditioning. This design enables it to handle complex financial queries within a hierarchical agent-table data structure, achieving a notable 61.8% accuracy rate in solution generation.

Key agents include:
- Sub-querying Agent: Breaks down complex queries into manageable parts.
- Task Planning Agent…