ChatGPT’s inadequate comprehension of context and background information is one of its drawbacks. As a result, the model can need help comprehending the context of a conversation or text and might provide irrelevant or absurd responses.
A second drawback of ChatGPT is that it is currently only capable of understanding and producing text in the language in which it was taught. As a result, it might not be able to comprehend or make text in other languages.
ChatGPT apps can produce biased or offensive content if it is not taught correctly, which is another drawback. This is so that the model can pick up on and reproduce any biases found in the training set of data.
The dependence of ChatGPT on the caliber of the training data is another drawback. The number and quality of the training data have a significant impact on the model’s performance.