Towards Generalist Prompting for Large Language Models by Mental Models

arXiv:2402.18252v1 Announce Type: new
Abstract: Large language models (LLMs) have demonstrated impressive performance on many tasks. However, to achieve optimal performance, specially designed prompting methods are still needed. These methods either rely on task-specific few-shot examples that require a certain level of domain knowledge, or are designed to be simple but only perform well on a few types of tasks. In this work, we attempt to introduce the concept of generalist prompting, which operates on the design principle of achieving …

abstract arxiv cs.ai cs.cl domain domain knowledge examples few-shot knowledge language language models large language large language models llms performance prompting simple tasks type