Improve Your Company’s Use of AI with a Structured Approach to Prompts
November 14, 2023
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Summary.
Despite their power and seemingly intuitive interface, it can be hard for new users to really put AI’s capabilities to work. Companies need to invest in both prompting and fine tuning. The authors suggest a framework for doing so: building an internal library based on their prompt-query alignment model (PQAM). This framework provides a structured approach to crafting prompts and fine-tuning AI models to enhance productivity, quality, and human upskilling. PQAM consists of three key components: a prompt library, prompt customization, and a feedback loop.Artificial intelligence has rapidly evolved from being a mere technological curiosity to a driving force in the business world. Tools such as GPT-4, Bard, and other large language models (LLMs) along with their more generative foundational models (FMs) are at the forefront of this breakthrough, their capabilities extending far beyond previous programmed systems. These AI models possess the capacity to “understand” and generate images and human-like text from simple instructions, making them invaluable in a wide array of applications, from content creation and design to coding and data analysis.