Prompt choice for large language models: Business communications
E. V. Komarova
Abstract
The given article highlights the role of LLM in natural language processing and the possibilities of its use for various tasks, in particular in the field of business communications. It is essential to formulate prompts correctly for effective interaction with neural networks. Prompt engineering is becoming not only a technical, but also a creative process for a user to be able to effectively build communication with a neural network. The article outlines various methods for classifying prompt patterns depending on tasks and situational contexts, and provides specific prompt templates. The latest studies have revealed new ways of using LLM in business communication, for example, to create pitches or imitate the styles of famous CEOs to make up business content. We analyze the use of large language models as a tool for generating and adapting business communication texts. We have established that the choice of language means in AI-generated text affects the effectiveness of the content presentation and the result of the business project as a whole. As a result, the proper use of generative AI, including the ability to construct queries, is an important part of digital competence which affects the success of business communication and other fields of human activity.