Leveraging Large Language Models for Automated Generation and Validation of Financial Descriptions for Lithuanian Companies

Abstract

Scoris.lt utilized Large Language Models (LLMs) to address the challenge of improving SEO performance by generating financial descriptions for Lithuanian companies. The case study highlights the innovative application of LLMs and custom translation models to create high-quality, multilingual content at scale.

Prerequisites

None

Description

The session would outline the implementation of a scalable AI solution by Scoris.lt. Facing challenges with Google search rankings due to a lack of text-based content, Scoris employed LLMs to generate financial descriptions in Lithuanian. The solution combined open-source models for cost efficiency and high throughput, supported by fine-tuned translation models for linguistic accuracy.

The results included generating readable text for over 115,000 companies, boosting impressions and average rankings on Google search. This case study not only demonstrates the business impact of leveraging AI-driven tools but also offers a roadmap for integrating affordable, high-performance LLM and translation technologies.