Harnessing Business and Media Insights with Large Language Models

TL;DR

FALM is a specialized large language model designed for in-depth business analysis, integrating curated media knowledge, advanced reasoning, and visualization techniques to improve accuracy and trustworthiness in business insights.

Contribution

The paper introduces FALM, a novel LLM tailored for business analysis that incorporates a curated knowledge base and three innovative methods to enhance answer accuracy and interpretability.

Findings

FALM outperforms baseline models in automated and human evaluations.

FALM provides precise, in-depth business insights with high trustworthiness.

FALM effectively visualizes financial data through natural language queries.

Abstract

This paper introduces Fortune Analytics Language Model (FALM). FALM empowers users with direct access to comprehensive business analysis, including market trends, company performance metrics, and expert insights. Unlike generic LLMs, FALM leverages a curated knowledge base built from professional journalism, enabling it to deliver precise and in-depth answers to intricate business questions. Users can further leverage natural language queries to directly visualize financial data, generating insightful charts and graphs to understand trends across diverse business sectors clearly. FALM fosters user trust and ensures output accuracy through three novel methods: 1) Time-aware reasoning guarantees accurate event registration and prioritizes recent updates. 2) Thematic trend analysis explicitly examines topic evolution over time, providing insights into emerging business landscapes. 3) Content referencing and task decomposition enhance answer fidelity and data visualization accuracy. We conduct both automated and human evaluations, demonstrating FALM's significant performance improvements over baseline methods while prioritizing responsible AI practices. These benchmarks establish FALM as a cutting-edge LLM in the business and media domains, with exceptional accuracy and trustworthiness.