How do you deal with incomplete answers from LLMs when generating code?

One of the big problems I have with ChatGPT/OpenAI and other LLMs is that they deliberately give incomplete or partial answers. For example, I might give 10 function prototypes and prompt "Please write implementations for these ten function prototypes." and the bot will respond with implementation for only 3 of them. Even if I insist by saying something like "I want you to implement ALL of the prototypes, not just 3 of them." it still will not do it. Is there a way to cope successfully with this problem?

Feb 7, 2025 - 12:42
 0
How do you deal with incomplete answers from LLMs when generating code?

One of the big problems I have with ChatGPT/OpenAI and other LLMs is that they deliberately give incomplete or partial answers. For example, I might give 10 function prototypes and prompt "Please write implementations for these ten function prototypes." and the bot will respond with implementation for only 3 of them. Even if I insist by saying something like "I want you to implement ALL of the prototypes, not just 3 of them." it still will not do it. Is there a way to cope successfully with this problem?