ChatGPT, an AI-based chatbot that allows for instant translations and idea generation, has rapidly gained popularity since its launch in November 2020. However, it still faces limitations such as high energy consumption and expensive processing requirements. Event-driven architecture (EDA) can help unlock the chatbot’s full potential by facilitating the flow of information between systems that “publish” events and systems that indicate interest in that information by “subscribing” to topics.
Building applications with EDA can make features more responsive and absorb incoming requests to improve response times while cutting down on energy consumption. EDA can also facilitate group activities requiring the same suggestions by sending one message to multiple recipients rather than responding to a bunch of requests individually.
To handle ChatGPT’s high volume of incoming requests, EDA can buffer requests and service them asynchronously across multiple event-driven micro-services as the ChatGPT service becomes available. Decoupled services ensure that if one service fails, it does not cause others to fail, thereby improving availability and scalability.
Moreover, EDA can enhance the shopping experience in the e-commerce industry by tracking key events from e-commerce platforms to understand patterns in customer behavior. This information can then be used for ChatGPT machine learning models to predict behavior and make personalized product recommendations. An event mesh, an architecture layer composed of a network of event brokers, can efficiently distribute data from GPT queries to interested subscribers globally.
As ChatGPT adoption rapidly increases, EDA has the capacity to unlock its full potential, addressing service outages, excessive energy consumption, bringing new business use cases to B2B and B2C organizations, and enabling greater scalability, resilience, and flexibility.
