In recent years, the use of chatbots and conversational AI systems has become increasingly popular for tasks such as customer service, e-commerce, and entertainment. One type of chatbot that has gained particular attention is the "GPT chatbot," which is based on the Generative Pre-training Transformer (GPT) language model developed by OpenAI. These chatbots are able to generate human-like responses to user input, making them well-suited for natural language processing tasks.
However, like any complex system, chat GPTs are not without their limitations and failure modes. In this blog post, we will explore some of the common failure modes of chat GPTs and discuss ways in which they can be mitigated.
Before diving into the failure modes of chat GPTs, it is important to first understand how GPT works. GPT is a type of transformer-based language model that uses machine learning techniques to generate human-like text. It does this by predicting the next word