Understanding how LLMs work is just the first step in AI literacy. In order to be a competent user of this technology it is important to understand the affordances and limitations of each tool and how it stacks up against some of the others both in the same category and across several categories. For example, ChatGPT, Copilot, and other LLMs are known to produce incorrect or bogus citations. That means that they may not be the most reliable research assistants when citations are important. On the other hand, a platform like Elicit was specifically built to be a research companion and will crawl all available journal databases.
Another crucial consideration for effective and competent AI use is figuring out your own preferences. It is important to work with different AI tools and compare results to see for yourself which one produces more useful content in fewer iterations. Working with several different tools on the same tasks will also allow you to figure out the best prompt format for each.
One important thing to keep in mind when working with any generative AI is to verify the information the tool generates. Inaccuracies are possible regardless of how good your prompts are.
What is ChatGPT and other general use LLMs good for?
What is it not so good for?
The "prompt" is what you type into the search or task box of an AI tool. It is the instruction that you give to the program which will produce or generate the result/output.
You can use a single prompt or go through a series of prompts to complete a task.
The more relevant information and specific instructions you can provide typically the better the results.
Tips for writing effective prompts
Try to specify context as much as possible.
Give the AI tool detailed instructions, including how you would like the results formatted.
Use an iterative approach by asking for additional revisions until you get the result you want.