Gestão de contexto para inteligência artificial generativa em soluções empresariais

Abstract

This study explores the impact and applications of intelligent context management in Generative Artificial Intelligence (GAI), particularly in enhancing customer support systems. GAI is known for its ability to autonomously generate and adapt content, playing a crucial role in customer service. Context management involves identifying, interpreting, and utilizing relevant information to ensure that Artificial Intelligence (AI) can respond accurately and contextually to requests, while minimizing operational costs, measured through tokens, which are the processing units in AI. Effective token management not only optimizes AI responses but also controls operational costs by preventing the excessive use of computational resources. Additionally, the study addresses the role of embeddings in AI, techniques for transforming information into numerical vectors, thereby facilitating the interpretation and classification of information. This study demonstrates how GAI, through the strategic management of tokens and embeddings, can contribute to context management in customer support environments, offering more natural and precise interactions with reduced computational costs.