Description: Dynamic Learning in the context of chatbots refers to an innovative approach where these artificial intelligence systems are capable of continuously learning and adapting from user interactions. Unlike traditional chatbots, which operate with a fixed set of pre-programmed responses, chatbots that implement dynamic learning use machine learning algorithms to analyze patterns in conversations and improve their responses over time. This learning process is based on collecting data from each interaction, allowing the chatbot to adjust its behavior and provide more accurate and relevant answers. The main characteristics of this approach include the ability to personalize, the continuous improvement of user experience, and adaptation to new situations or questions that may arise. The relevance of dynamic learning lies in its potential to transform the way businesses interact with their customers, providing a more efficient and satisfactory service. In a world where customer service is crucial, chatbots that learn dynamically become valuable tools for optimizing communication and solving problems more effectively.
