These generative AI models are the ones we think of when we think of “AI”. Also known as large language models (LLMs), these AIs are designed to understand human language and respond to questions and inquiries like a human. Trained on an unfathomable amount of text from the internet, these models are not designed for the accuracy of the information they provide, but rather the written language in which they provide it.
While useful with generating ideas or brainstorming, or for creating and editing common documents, these AIs are prone to hallucinations and can provide made-up information. The output they generate also tends to be plain and “average” as that output is based on statistical analyses of the language.
Name |
Company/Developer |
What it does |
|---|---|---|
| ChatGPT | OpenAI |
Examples include: answer questions, suggest search words, develop essay outline, summarize information, search for citations, generate text on a topic, translate languages, write poetry, create AI art, suggest coding. |
| Gemini | Gemini can answer questions, summarize text, translate languages, write different creative text formats (like poems, code, scripts, musical pieces, email, letters, etc.). | |
| Claude | Anthropic | |
| CoPilot | Microsoft | |
| Meta AI | Meta |