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Benefits and Disclaimers
Benefits and Disclaimers
Before we begin, let's first consider a few common benefits as well as some disclaimers associated with using LLMs. Below is not an exhaustive list.
🧐 How can LLMs benefit faculty and students?
🧐 How can LLMs benefit faculty and students?
Enhance Learning: They may serve as a dynamic educational tool, sparking curiosity and encouraging exploration.
Save Time: They may streamline the content creation process, allowing educators and learners to focus on higher-level tasks.
Promote Creativity: They may inspire users to think outside the box and explore new ideas and perspectives.
⚠️Disclaimers when using GAI
⚠️Disclaimers when using GAI
Verify Results: LLMs are known to hallucinate (i.e., generate output that is fabricated or inaccurate). Always verify the information a LLM outputs.
Monitor for Bias: LLMs are trained on knowledge that is human-created, therefore it is subject to inheriting and outputting biased content.
Limit Data Risks: Never share sensitive information in a LLM. Once you enter data into a LLM, consider it functionally as public data.
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