AI, ChatGPT, and Beyond

What is a Text Generation Platform?

A text generation platform is a software tool, often powered by artificial intelligence, that creates written content based on user-provided prompts or specific inputs. These platforms generate text that ranges from simple sentences and paragraphs to more complex documents, stories, scripts, or even code. Text generation platforms are widely used in applications like content creation, customer service, educational resources, and interactive storytelling, allowing users to produce high-quality written material efficiently and at scale.

Learn More

In addition to the tool options provided in this research guide, there are numerous others out there you may like to try. For example, Poe.com is a generative tool that allows you to customize your chatbot including choosing which underlying model to use.

If you are well-acquainted with the tools on this page, we recommend diving into the diverse array of tools available today that cater to various content requirements, including image, video, and audio production. 

For a bit more on each of the above, see:

• Getting Started with AI Platforms by Joel Gladd
• How to Use AI to Do Stuff by Ethan Mollick
• Also, check out the crowdsourced 100+ Creative ideas to use AI in education

**Please be aware that while many AI tools are free or provide some free services, some products do come with an associated cost. 

• Many of these tools require you to create an account to use them. When creating accounts, be sure to use an email address that is your preferred account for these services. 
• Consider the privacy policy and consider what kind of information you are comfortable sharing with the model as you prompt it. Also, when reviewing platform privacy policies, think about what personal information students might be asked to provide using a given platform.
• If you are concerned about these issues, consider looking for a platform that does not require an email address or login. At the time of this writing, that is true for both Stable Diffusion and Perplexity.ai.

Attributions

This list is from a course called ZTC Generative AI taught through @ONE. The designers of this course would like to express appreciation to the following individuals and organizations for both contributing to the development of this course and creating openly licensed Canvas courses that we have utilized in its creation: 

• Anna Mills
• Jonathan Poritz
• Making the Case for ZTC: Pathways to Equity by Aloha Sargent and James Glapa-Grossklag for the California Community Colleges’ Zero Textbook Cost Degree program, licensed under CC BY 4.0
• Building a Team: Training OER Support Staff by Maritez Apigo, Kim Grewe, Jamie Thomas, and Aloha Sargent for the California Community Colleges’ Zero Textbook Cost Degree program, licensed under CC BY 4.0

Building a Team: Training OER Support Staff by Maritez Apigo, Kim Grewe, and Jamie Thomas for the California Community Colleges’ Zero Textbook Cost Degree program, is licensed underYou can find the courses available to download in Canvas Commons.

Other Resources

This research guide draws on content provided in the WCET Primer for Higher Education: General Brief on Generative AI. by Van L. Davis licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.

For a full list of resources from which the course developers drew to design this course—and for which we are grateful—see this bibliography