Self-Instructed Derived Prompt Generation Meets In-Context Learning:
Unlocking New Potential of Black-Box LLMs
Self-Instructed Derived Prompt Generation Meets In-Context Learning:
Unlocking New Potential of Black-Box LLMs
Large language models (LLMs) have shown success in generating high-quality responses. In order to achieve better alignment with LLMs with human preference, various works are proposed based on specific optimization process, which, however, is not suitable to Black-Box LLMs like GPT-4, due to inaccessible parameters. In Black-Box LLMs case, their …