ChatGPT Prompts Guide for Standard Undergrade Reference Questions

When creating prompts for ChatGPT, it is imperative to consider several parameters to ensure that the generated responses are relevant, accurate, and aligned with the desired outcome. Crafting a prompt that is clear, concise, and unambiguous is crucial. This can be achieved using simple and direct language and being specific about the expected outcome. Additionally, it is essential to consider the context in which the prompt will be used and tailor it accordingly. Considering these factors, a prompt that is effective and easy to comprehend can be created.

Designing prompts for an AI requires a specific and focused approach. First, sufficient context must enable the AI to generate a relevant response. The AI may understand the user's intent and respond reasonably. Therefore, it is crucial to craft well-thought-out prompts that clearly convey the user's needs and expectations. By doing so, we can ensure that the AI provides accurate and helpful assistance to users.

Phrasing is another critical aspect to consider when designing prompts for an AI. Using language that encourages the AI to provide a detailed and informative response is essential. This is in addition to other factors, such as the type of data being used and the intended audience. By carefully crafting the prompt, we can ensure that the AI provides the most accurate and helpful information possible.

By considering these parameters, the prompts generated for ChatGPT can be optimized to produce high-quality responses that meet the user's needs. The quality of the responses generated by ChatGPT can significantly impact the user's experience. 

By optimizing the prompts, we can ensure that the responses are relevant, accurate, and helpful, leading to increased user satisfaction and engagement. Additionally, optimizing the prompts can reduce the time and effort the user requires to find the information they need, further improving their experience. Overall, considering these parameters is essential to ensure that ChatGPT provides the best possible experience for its users.

The presented text outlines a table that offers examples of how each parameter can be utilized to broaden or restrict a reference question's focus.

• By adjusting these parameters, the extent and comprehensiveness of the review can be tailored to align with specific research objectives or areas of interest. 
• This level of customization enables researchers to conduct a more targeted and efficient literature review, ultimately saving valuable time and resources. 
• By carefully selecting the appropriate parameters, researchers can ensure that their literature review is comprehensive enough to provide a thorough understanding of the topic and focused enough to provide valuable insights.

As a language model, ChatGPT does not inherently have specific "research prompt parameters." However, here is a table defining and providing examples of parameters you can use to create effective prompts for ChatGPT:

Parameter	Definition	Expansion	Example
Clarity	The degree to which a prompt is clear, concise, and easily understood by the language model.	A clear prompt has a specific objective and is phrased so ChatGPT can easily understand and generate responses.	"What are the main factors contributing to climate change?" instead of "Tell me about that climate thing."
Context	Background information was provided to help ChatGPT understand the prompt and generate relevant responses.	Context helps establish the foundation for a prompt and may include relevant facts, figures, or timeframes.	"Considering the events of World War II, explain the significance of the D-Day invasion."
Open-ended vs. Closed-ended	The type of question posed requires a detailed response (open-ended) or a specific, limited answer (closed-ended).	Open-ended prompts encourage broader, more thoughtful responses, while closed-ended prompts seek a specific answer.	Open-ended: "Discuss the impact of social media on society." Closed-ended: "When was Facebook founded?"
Tone	The emotional quality or style of the prompt can influence the tone of ChatGPT's response.	The tone can be formal, informal, serious, light-hearted, etc., depending on the desired response style.	Formal: "Please provide a detailed analysis of Shakespeare's use of soliloquies." Informal: "What's up with soliloquies in Shakespeare's plays?"

ChatGPT Citation Style Parameters and Their Purpose

Here is a working ChatGPT prompt for generating an APA citation for a journal article:

Generate an APA citation for a journal article with the following information: author: John D. Smith, Jane A. Doe; title: The impact of AI in drug discovery; journal: Journal of Drug Discovery; publication year: 2021; volume: 7; issue: 3; page range: 145-152; DOI: 10.1111/jdd.12345

This prompt will instruct an AI model to generate an APA citation based on the provided information about the journal article as below.

Smith, J. D., & Doe, J. A. (2021). The impact of AI in drug discovery. Journal of Drug Discovery, 7(3), 145-152. https://doi.org/10.1111/jdd.12345

Prompt Engineering for Literature Reviews with ChatGPT

Prompt engineering is an essential practice in conducting ChatGPT literature reviews. 

Syntax and terminology are essential elements of prompt engineering as they help accurately capture relevant information from databases and other source materials during the literature review process.

Syntax refers to the structure, form, and order of words and phrases used in a language. For example, when conducting a literature review, a librarian might use the syntax “engineering AND materials” when querying an online database. This syntax helps ensure that the search returns results related to engineering and materials.

Terminology is a set of words and phrases related to a specific subject or field of study. For example, if a librarian is conducting a literature review on automotive engineering, they might use terminology such as “engine,” “transmission,” and “turbocharger.” This terminology helps to refine the query and return results that are more relevant to the literature review.

In addition to syntax and terminology, librarians should be familiar with the syntax and terminology specific to the database they use. Different databases have different ways of searching and retrieving information. If a librarian is not familiar with the specific syntax and terminology used by a database, they could end up missing relevant information that could be found using the correct syntax.

Finally, librarians should understand the logic of using syntax and terminology when conducting literature reviews. This knowledge helps them construct more efficient, accurate queries that narrow the search to only relevant information. Understanding how to properly use syntax and terminology for literature reviews is essential for research librarians.