Artificial intelligence is the application of computing power to create new combinations of text, images, and data analyses for people to use. In a pure vision of artificial intelligence, the computer would be replicating and possibly improving on the process of human thought. In the existing models, AI tools are programmed to make best guesses at what responses best fit the questions they receive.
Generative AI is a type of AI that includes the chat features present in most of the tools in this guide. These generative tools required a Large Language Model (LLM) to learn how to generate text responses to prompts entered by users. The LLMs will vary in content and size, but may include all sorts of documents and publications.
A more detailed overview on these concepts is available in A Generative AI Primer from the Jisc National Centre for AI.
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These AI tools all work quite similarly: start up a chat session with the AI, ask it for information, and review the results. Beyond these tools and the others on the tabs to the left, you can search through thousands of special purpose AI tools at There's an AI for That (TAAFT).
How you describe what you are searching for impacts your results, whether searching Google, a library database, or an AI tool.
Here are six strategies provided by OpenAI, the creators of ChatGPT. Briefly, they include these tactics:
You can also try a similar model for prompt engineering in the CLEAR method. The linked article outlines five core principles of prompt engineering: