These examples are for more simple prompt engineering demos. With the ChatGPT system prompt, you can give the model a large and complex set of rules to account for and recent models of ChatGPT do a good job of accommodating them. Some of my best system prompts are >20 lines of text, and all of them are necessary to get the model to behave.
The examples are also too polite and conversational: you can give more strict commands and in my experience it works better.
There's also function calling/structured data support which is technically prompt engineering and requires similar skills, but is substantially more powerful than using the system prompt alone (I'm working on a blog post on it now and it unfortunately it is going to be a long post to address all of its power). Here's a fun demo example which compares system prompts and structured data results: https://github.com/minimaxir/simpleaichat/blob/main/examples...
The examples are also too polite and conversational: you can give more strict commands and in my experience it works better.
There's also function calling/structured data support which is technically prompt engineering and requires similar skills, but is substantially more powerful than using the system prompt alone (I'm working on a blog post on it now and it unfortunately it is going to be a long post to address all of its power). Here's a fun demo example which compares system prompts and structured data results: https://github.com/minimaxir/simpleaichat/blob/main/examples...