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2. Prompt engineering - Wikipedia

   en.wikipedia.org/wiki/Prompt_engineering

   Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative artificial intelligence (AI) model. [1] [2]A prompt is natural language text describing the task that an AI should perform. [3]

3. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.

4. Wikipedia : Using neural network language models on Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Using_neural...

   Based on the results, AI models seem to be a very powerful brainstorming tool, and via prompt engineering, these AI do allow an impressive amount of refinement to the plan. AI can also be a great tool as a pointer to potential sources and can remind editors of Wikipedia's content policy (NPOV, RS, etc.)

5. NC college admissions confront AI-written application essays ...

   www.aol.com/nc-college-admissions-confront-ai...

   The supplemental essay hinted at an actual life. The AI applicant fixed gadgets in their parents’ garage and later joined the high school robotics club.

6. Teachers are using AI to grade essays. But some experts are ...

   www.aol.com/teachers-using-ai-grade-essays...

   teaching ChatGPT best practices in her writing workshop class at the University of Lynchburg in Virginia, said she sees the advantages for teachers using AI tools but takes issue with how it can ...

7. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]