Large Language Models (LLMs). gather data from a variety of sources - websites, databases, social media, and user input; however, these sources are not always made public. The system "learns" from interactions to improve the experience. These can also be called "Chatbots". ChatGPT, (GPT stands for generative pre-trained transformer) from the company OpenAI, is an example of a sophisticated chatbot and is " capable of understanding natural human language and generating impressively detailed human-like written text." (Source: The Guardian). Other companies offer their own generative chatbots - some examples are Gemini, Claude and Copilot.
Some concerns about the use of ChatGPT and similar tools:
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Search the following subject headings/keywords in the databases below to find content on the use of ChatGPT and chatbot technologies in healthcare. As this is a newer technology, there are very limited subject headings for the concept. When subject headings are not available, use a keyword search.
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Get the most out of an interaction with ChatGPT/LLMs by using prompt engineering, a practice of formulating questions in specific ways to guide the responses. The way a question is asked can have a significant impact on the information returned.
The CLEAR Framework for Prompt Engineering provides guidelines and methods that can be used to optimize interactions with AI large language models such as ChatGPT.