Sometimes, ChatGPT's default behavior is insufficient to achieve your goals.

ChatGPT is frequently mishandled. There aren't any examples included in our questions. Roles enable us to control ChatGPT's behavior, but we ignore this fact. We let ChatGPT make assumptions instead of providing it with knowledge. We must create top-notch prompts in order to get better outcomes. Engineering needs to be mastered rapidly. In prompt engineering, there are four methods listed below.

Few Shot Standard Prompts

A few basic prompts are the same basic prompts that we have previously seen, but they also include instances of the assignment. Why are examples? Well, you need to provide instances of the problem that the prompt is attempting to solve if you want to improve your chances of getting the intended outcome.

I want to travel from Orlando to Boston. What are the airport codes? This could do the trick, but it might not always be sufficient. You must employ a couple shot typical prompts in these circumstances.

Text. "I need a flight from Los Angeles to Miami.”Airport codes: LAX, MILA

Remember that earlier study revealed that the label space is more significant than the actual solutions in the cases. Even offering arbitrary labels from the label space might help your prompts perform better.

Role Prompting

Sometimes, ChatGPT's default behavior is insufficient to achieve your goals. At this point, ChatGPT needs to have a role.

Take the example of practicing for a job interview. You may mimic a job interview for any position by instructing ChatGPT to "act as hiring manager" and providing extra information in the prompt.

Add personality to your prompts and generate knowledge

For writing emails, blogs, essays, articles, and other types of content, these two prompting techniques work well.

By "adding personality to our prompts" I mean adding a tone and descriptions. Our writing can acquire a certain tone, formality, authorial voice, and other characteristics by adding a style.

Adding descriptors allows us to further personalize the output. An adjective can be used as a description to modify your question and produce a highly general post. However, if you include words like motivational, sardonic, fascinating, and entertaining, the results will vary substantially.

Chain of Thought Prompting

With chain of thought prompting, as opposed to ordinary prompting, the model is encouraged to develop preliminary stages in its deductive process before providing a solution to a problem.

Exactly why is logic crucial? Usually, the results are more accurate when the logic is explained.