AI (Artificial Intelligence), most specifically LLMs, are technologies used to generate natural language content, allowing users to engage in conversations, ask questions and receive answers. AI can help you brainstorm and generate new ideas as well as generic text to fill in gaps. It can also be used to edit drafts to ensure that the content is polished and free from errors.

A large language model (LLM) is an AI model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts. They are the basis for many modern chatbots, such as ChatGPT, Claude, Gemini, Grok, and DeepSeek.

LLMs are typically based on transformer architecture. Generative pre-trained transformers (GPTs) are a type of LLM that is pre-trained to predict the next word. GPTs are then often fine-tuned to follow instructions and to behave as assistants.

Biased or inaccurate training data can make an LLM's output less reliable. A software harness can provide LLMs with memory and access to tools such as web search. Benchmark evaluations for LLMs attempt to measure model reasoning, factual accuracy, alignment, and safety.

Appropedia allows AI-generated content

Use of AI on Appropedia is allowed under the following conditions:

Dangers of using AI

Recommendations for using AI content

There's no requirement to cite the AIs you use to generate text (but you are encouraged to do so, and may be required to do so if you are editing Appropedia as part of your work, organization, or course), just as there's no requirement to cite the software you used for spellchecking and grammar corrections. However, it is advisable to cite the sources from where the AI generated the text, so users can verify it. Doing so may require research, or you may use AIs like Perplexity that already include the sources used.

We recommend AI for the following actions:

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Created April 26, 2023 by Pedro Kracht
Last edit January 28, 2026 by Felipe Schenone