The Impact of Temperature on the Performance of Large Language Model Systems and Business Applications
In today’s data-driven world, businesses are increasingly turning to advanced technologies to gain a competitive edge. Large language models (“LLMs”) have emerged as a game-changer, enabling businesses to have intelligent conversations with data and extract valuable insights. In this study we explore the effects of LLM temperature, a concept borrowed from statistical physics and thermodynamics, on the impact of LLM business applications.