Towards an Effective Prompting With AI Systems: The Jujitsu Framework
Keywords:
business, economics, AI, artificial intelligence, large language model, LLM, prompt engineering, prompting, framework, objective communicationAbstract
As Large Language Models (LLMs) become central to AI applications, prompt engineering has emerged as a critical skill for optimizing model output. However, existing prompting techniques lack a solid theoretical foundation and continue to exhibit persistent limitations, such as insufficient objectivity and inadequate awareness of training data. We present a Framework that offers a principled model for prompt engineering, aligning with both the core mechanisms of LLMs and the principles of objective communication. This framework addresses critical gaps in existing methods and provides a systematic, transferable approach to prompt design. By working with - rather than against – the LLM architecture, the framework enhances accuracy, interpretability, and versatility across domains, thereby advancing the evolving landscape of human-AI interaction.
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