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Forecasting Tomorrow: A Journey into Advanced Performance Prediction Models

Forecasting Tomorrow: A Journey into Advanced Performance Prediction Models

Forecasting Tomorrow: A Journey into Advanced Performance Prediction Models

Qualitest Group
Pages 21 Pages

The document outlines how Large Language Models (LLMs) can be used in performance engineering to predict future software performance trends. It introduces a framework for using LLMs to analyze data from historical performance test reports and customer support tickets, aiming to predict key performance indicators (KPIs). The framework leverages in-context learning and exploratory data analysis (EDA) to create predictive models that improve system performance. The approach enhances decision-making, enables proactive troubleshooting, and optimizes resource allocation.

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