Improving Forecasting Models with Large Language Models

by | May 3, 2024

At Tickr, we enhance the data science life cycle using large language models (LLMs). We develop a solution, Generative Predictor Search (GPS), which integrates LLMs to improve the accuracy and efficiency of time series forecasts and provides intuitive interpretations of influential factors on forecasted variables. This approach not only reduces forecasting errors by 15.6% compared to naive univariate autoregression models but decreases run time by 13 times, establishing GPS as a leading solution in explainable forecasting.

The Impact of Temperature on the Performance of Large Language Model Systems and Business Applications

by | Sep 25, 2023

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.