{"id":4671,"date":"2023-07-11T14:31:37","date_gmt":"2023-07-11T18:31:37","guid":{"rendered":"https:\/\/www.montclair.edu\/itds\/?page_id=4671"},"modified":"2026-04-15T11:05:35","modified_gmt":"2026-04-15T15:05:35","slug":"text-generation","status":"publish","type":"page","link":"https:\/\/www.montclair.edu\/itds\/instructional-tech\/ai\/text-generation\/","title":{"rendered":"AI Apps: Text Generation"},"content":{"rendered":"
With the introduction of ChatGPT in November of 2022, AI chatbots have become part of the conversation in the world of education and technology. Generative AI such as chatbots run on a large language model (LLM) which helps the program craft human-like responses and respond to diverse queries effectively. For example, the LLM powering ChatGPT is a generative pre-trained transformer (GPT), which is rapidly evolving in the breadth of its capabilities with each new version that has launched. However, it\u2019s important to recognize that these language models have their limitations, including potential biases, inaccuracies, and reliance on predetermined data sets.<\/p>\n
To gain a quick overview of ChatGPT, and three of its competitors: Google Gemini, Microsoft Copilot, and Claude, refer to the table below. For a more in-depth analysis of each tool, continue scrolling down this page. During your exploration, learn more about how to write productive prompts<\/a> to get the most of these tools.<\/p>\n <\/p>\n