University Library

Large Language Models (LLMs) such as Open AI Chat GPT, Microsoft Bing, and Google Bard have received widespread coverage in the popular and higher education press. However, an important aspect of using these tools effectively has attracted minimal attention – how an individual phrases their query, or prompts the tool, impacts the content and quality of the response.  

Librarians have extensive experience helping students translate their research topics and questions into searchable queries across various online platforms. This poster includes an overview and assessment of existing AI tools and highlights what we have learned about crafting effective LLM prompts.

The emergence of new AI tools for information retrieval and synthesis is exciting; however, there are serious caveats. Instructors should encourage students to recognize the biases associated with using AI tools.