Comprehensive Big Data Processing with Gemini
Abstract
Generative AI faces limits in processing massive datasets due to context windows. Current methods can’t analyze entire data lakes. This report presents a Gemini API approach for comprehensive big data analysis beyond typical model limits.
Introduction
The rapid advancement and widespread adoption of generative AI have been remarkable. High expectations are placed on these technologies, particularly regarding processing speed and the capacity to handle vast amounts of data. While AI processing speed continues to increase with technological progress, effectively managing and analyzing truly large datasets presents significant challenges. The current practical limits on the amount of data that can be processed or held within a model’s context window simultaneously, sometimes around a million tokens or less, depending on the model and task, restrict direct comprehensive analysis of massive data lakes.