With their exceptional ability to handle and interpret vast amounts of unstructured data, Transformers and Large Language Models (LLMs) have brought significant advancements in AI. We use them to analyze weather patterns and various other data to improve the accuracy of forecasts and models. By processing both historical and real-time weather data, these models can uncover dynamics that traditional approaches might overlook.
Innovative Use of LLMs
Large Language Models (LLMs) are capable of processing a wide array of textual data from diverse sources such as newspapers, social media updates, and schedules for public events like festivals, exhibitions, and sports competitions. Converting this textual information into structured data enriches and refines predictive models, enhancing their relevance and effectiveness.
Leveraging Data-Driven Weather Models
Our advanced, data-based weather models like Google GraphCast have proven to outperform traditional numerical methods. By integrating this technology into our projects, we provide state-of-the-art weather forecasting solutions tailored to the specific needs of each client.