What is it good for?
- Brainstorming ideas
- Narrowing your topic ideas for a research paper and getting keywords for searching in library databases
- Explaining information in ways that are easy to understand
- Summarizing and outlining
- Asking questions (be sure to fact check the results)
- Translating text into different languages (not completely fluent in every language)
- Helping write or debug computer code
Remember, you'll always need to verify the information provided because generative AI tools will sometimes make things up (known as "hallucination.")
What is it NOT so good for?
- Library research (not yet). For now, it's best to use our Summon Quick Search, the library databases, or even Google Scholar. The source citations provided may be completely made up. You must always check each citation to make sure that the source it is referencing actually exists.
- Asking for any information that would have dire consequences if it was incorrect (such as health, financial, legal advice, and so on). This is because of its tendency to sometimes make up answers, but still sound very confident.
- Solving math problems. According to Perplexity AI "...generative AI models are fundamentally designed to predict text patterns rather than understand and apply mathematical concepts."