4. Break down into stages and reformulate if necessary
A prompt that is too long or complex may be difficult for the machine to understand, or to process all at once. The attention mechanisms may become dispersed, and certain instructions may be treated superficially, or even omitted. Dividing a complex prompt into several stages helps to clarify expectations at each stage. Each sub-section can be dealt with more precisely, reducing the risk of misunderstandings or incomplete answers. It's also worth noting that some generative AI interfaces can limit the length of prompts, often to a few thousand characters, to guarantee a coherent and relevant response.
In addition, successive steps ensure that each aspect of a task is completed before moving on to the next. If this is not the case, an intermediate instruction can be reformulated to obtain the expected result.
Here's an example of prompt chaining,...
You do not have access to this resource.
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed?
Log in!
Ongoing reading
Break down into stages and reformulate if necessary