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ChatGPT & AI Chatbots

Module 9. What Is the Future of AI Chatbots?

In one word, the future of AI Chatbots will be amazing. Already there are tools that let you create your own chatbot and train it on the documents you want it understanding and chatting about with your users. An example is ChatPDF where you can go to drop a PDF and then chat with its content:

Mobile Apps

Mobile app developers are taking advantage of these tools in powerful ways. Here are some examples you can explore:

Search Engine Integration

Microsoft (ChatGPT) and Google (Bard) are working to integrate chatbots into their search engines. Here is an article about the AI future of Google search and Microsoft’s Bing search:

Language Models

Language models will continue to improve. Just as Microsoft’s GPT has moved through several versions, so also has Google’s PaLM. At the same time, Meta Facebook is developing LLaMa, and Amazon is working on its Bedrock platform. Here are some predictions about what is coming:


ChatGPT has a paid version called ChatGPT Pro. It lets users embed plugins within the ChatGPT interface. You can upload a PDF reader, a data visualizer, the Wolfram mathematical engine, and all sorts of other things. In the following video, Automata Learning Lab engineer Alex Lucas demonstrates how some of the plugins work, including ScholarAI, Penrose Analyst, ShowMe, AskYourPDF, LinkReader, WebPilot, Wolfram, and a Python code generator:


How will we measure the impact of AI? Think Internet-level disruption:

Due to the unprecedented speed at which AI is impacting education, the National Science Foundation (NSF) perceives a “severe urgent need for research on the use of AI, and the teaching of AI, in K-12 classroom and informal settings.”  NSF has invited researchers to submit Rapid Response Research (RAPID) proposals via the following “Dear Colleague” letter:

MLA and CCCC Task Force

Discipline associations are beginning to respond on behalf of their content-area memberships. For example, the Modern Language Association (MLA) and the Conference on College Composition and Communication (CCCC) recently formed a Task Force on AI and Writing. This joint task force will work to address a number of member needs related to Writing and AI (large language models, ChatGPT, LaMDA, Meta's LLaMa, etc.) such as (1) Taking stock of the current state of the issue and identifying implications for teachers, students, scholars, and organizations, (2) Creating resources that will synthesize, set professional standards, and make recommendations that /provide guidance to members, (3) Supporting and mapping out promising directions of scholarly interest for learning more about the issue, and (4) Creating community for members to share resources. To learn more, follow this link to the AI and Writing landing page: