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There are many types of AI content generators with a variety of uses for consumers and businesses.
ChatGPT, a powerful AI chatbot, inspired a flurry of attention with its November 2022 release. The technology behind it at its release — the GPT-3 language model — had existed for some time. But ChatGPT made the technology publicly available to nontechnical users and drew attention to all the ways AI can be used to generate content. Now, more than two years after its release, many AI content generators have been created for different use cases.
This has prompted questions about how the technology will change the nature of work. Some schools are banning the technology for fears of plagiarism and cheating. Others are leaning into the technology. Lawyers are debating whether it infringes on copyright and other laws pertaining to the authenticity of digital media. President Joe Biden also passed an executive order in October 2023 that addressed the technology’s opportunities and risks in the workforce, education, consumer privacy and a range of other areas. Generative AI has the potential to change the way content is created.
AI-generated content — or generative AI — refers to the algorithms that can automatically create new content in any digital medium. Algorithms are trained on a large amount of data. Outputs are then returned based on that data and a comparatively little bit of user input. But the key is that content is new and generated automatically.
The most common example of a generative AI tool is ChatGPT. ChatGPT performs natural language processing and multimodal processing. It is based on the GPT series of AI models, the latest of which is GPT-4o. GPT-4o is trained on a large amount of human data from the internet — audio, text and images — and teaches the language model how to respond when interacting with users.
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Other generative AI programs work in a similar way. They are trained to develop a body of knowledge and use that knowledge to create novel outputs.
Many commercial generative AI offerings are currently based on OpenAI’s generative AI tools, such as ChatGPT and Codex.
AI-generated content is not just limited to mimicking human writers. AI-generated content also exists in other media, such as the following:
Despite the many types of content generative AI can create, the algorithms used to create it are often large language models such as GPT-4 and Gemini. Many content generators also use multimodal models, which enable them to take inputs and produce outputs in different mediums — including text, images, video and audio. Over time, more models are being infused with multimodal capabilities, expanding their capabilities beyond just written word. GPT-4 and Gemini are both multimodal. GPT-4’s predecessors — GPT-3 and prior — were not multimodal.
These different media can be used in tandem to generate various content. They can be used in many different fields, including the following:
There are AI content generator tools in every medium — some paid and some free. Many are based on similar technology and add features to address specific user needs. Below are some of the top content generators organized by content type.
While automatically generating content has its benefits, it’s also fraught with risk and uncertainty. Read up on some of the pros and cons of AI-generated content.
Ben Lutkevich is a technical features writer for WhatIs.com, where he writes technology explainers and definitions.
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