For example, they can take into account instructions, contexts, etc

[shukla7789]

This allows them to generate text that is not only grammatically correct, but also logically coherent.

It is important to note that while these models are capable of generating text that sounds very human, a bot does not understand the meaning of the text it generates.

Everything is based on statistical models and human-guided learning.

Content generators don't have the understanding of text that a human would.

This explains why errors occur for different reasons:

understanding the request, in this case it is northeast mobile number database to frame the subject better because the question is too precise or too broad,
the quality of the analysis of the source data , in this case the original database is not “distinct” or reliable enough,
the complexity of the request, which means that the prediction algorithm cannot fully understand what you want,
reference data, which means that since AI cannot say “I don’t know”, it will try to answer something as long as it is probably a good reason,
…
The Art of Prompt is the art of writing the right question to get the right answer.

This challenge is the key to good content generation.

Below is the framework for writing a good prompt, with the sixth step being to refine your request by rewriting the prompt until you achieve the expected result.

And it's normal to have to rewrite a prompt, sometimes it takes me 3 or 4 rewrites to get the answer I want.