Vec2T5: A Chatbot Integrating Word2Vec and T5 for Improved Performance

Chatbots are now vital tools for improving user engagement and offering immediate assistance on a variety of platforms. However, traditional chatbot systems often struggle with balancing computational efficiency and contextual accuracy. This paper introduces Vec2T5, a hybrid chatbot model that combines Word2Vec for intent recognition with T5 (Text-to-Text Transfer Transformer) for dynamic response generation. Combining the best features of both models, Vec2T5 provides real-time, accurate query interpretation and contextually relevant responses to users while making efficient use of available resources. The streamlined architecture enables the system to offer high performance with minimal memory requirements. With a user-friendly interface and the ability to continuously learn from user interactions, Vec2T5 delivers a seamless, intelligent, and responsive chatbot experience, making it an ideal solution for organizations aiming to enhance communication and support.