Artificial intelligence isn’t simply restricted to software like ChatGPT. It is used in a variety of disciplines and fields, ranging from healthcare, government sectors, law, art, social media, sports and health fitness, and many others. Software such as Microsoft’s CoPilot, Google’s Gemini chatbot, OpenAI’s codex, art image generators and prompt generators like Midjourney and DALL-E 3, among others, use GenAI and predictive analytics to produce text, accomplish administrative tasks such as scheduling or writing emails, and create images based on artistic styles and works found on the web.
A number of AI tools have also been created to either assist with coding, or even generate code themselves. AI coding assistants such as Google’s DeepMind (which offers a suite of AI models that range from AI video and image generation, music creation, etc.), Tabnine, CodeT5 and CodeT5+, Deepcode AI, WPCode, Meta’s Code Llama, and many others, have the ability to build, run, and even test code. Despite the appeal of these coding tools–especially when it comes to optimizing and streamlining workflows–it bears repeating that these coding agents do not always yield accurate results and are susceptible to data security breaches.
The following UMBC WikiLink, "Which GenAI platform should I use?" provides an informative breakdown of GenAI tools Gemini, CoPilot, Amplify, and ChatGPT that compares what each software can and can't offer.
UMBC’s Division of Information Technology (DoIT) has also released a list of GenAI tools that has been verified, with links to a number of free versions of the tools for student use. Additional information concerning AI research, academic and instructional AI, and other resources can be found on their page as well.
