Context Aware

Context-aware systems aim to improve the performance of various applications by incorporating contextual information into their decision-making processes. Current research focuses on leveraging large language models (LLMs) and deep learning architectures, such as graph neural networks and transformers, to effectively process and utilize contextual data in diverse applications including recommendation systems, machine translation, and autonomous systems. This focus on context integration is significantly impacting fields like natural language processing, computer vision, and robotics, leading to more accurate, personalized, and efficient systems.