![Enterprise LLM strategy, achieve data and governance while reducing costs on hardware [Korean] Enterprise LLM strategy, achieve data and governance while reducing costs on hardware [Korean]](https://peeperfrog.com/wp-content/uploads/2025/04/2025-04-22T224223Z8646575651file.jpeg)
Enterprise LLM strategy, achieve data and governance while reducing costs on hardware [Korean]
Author: Hwang Chi-gyu | Source: Digital Today | Read the full article in Korean
In the rapidly evolving world of artificial intelligence, companies are searching for smart ways to use large language models (LLMs) without breaking the bank. A recent conference highlighted an innovative approach that balances cost, security, and effectiveness for businesses looking to leverage AI technology.
The key strategy involves using a mix of public and private small language models (SLMs) instead of relying entirely on expensive, one-size-fits-all solutions. This approach allows companies to be flexible, protecting their sensitive information while still taking advantage of cutting-edge AI capabilities. By carefully managing their data and infrastructure, businesses can create powerful AI systems without massive hardware investments.
One company, Fasoo, is leading the way by developing its own small language model called Ellm, which provides a comprehensive solution for businesses. The model includes various components that help companies manage their data, integrate AI safely, and create custom AI solutions that meet their specific needs. This approach demonstrates how businesses can be smart and strategic about implementing artificial intelligence technologies.