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from yuja

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Keep in mind we are already on ChatGPT 3.5 as a free resource, and ChatGPT4 for paid service.

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This is an online demo of the GPT-2 output detector model, based on the🤗/Transformers implementation of RoBERTa. Enter some text in the text box; the predicted probabilities will be displayed below. The results start to get reliable after around 50 tokens.

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This is an online demo of the GPT-2 output detector model, based on the🤗/Transformers implementation of RoBERTa. Enter some text in the text box; the predicted probabilities will be displayed below. The results start to get reliable after around 50 tokens.

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Provides summaries of research papers that students can use during the research phase.

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Bindu Reddy 🔥❤️ @bindureddy

My AI and ML research paper review time has gone down significantly. Thanks to this amazing tool - http://explainpaper.com that uses an AI model to explain dense sections In the background, an LLM simplifies and explains complex concepts AI explaining AI 👏👏👏

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A discussion with a corporate rep and two college presidents on the future of AI and education.

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AI and Higher Ed: Preparing Students for a New World of Work

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Webinar: AI and Higher Education Preparing Students for a New World of Work Webinar: AI and Higher Education Preparing Students for a New World of Work Overview This hour-long moderated discussion features predictions of upheavals in the world of work and higher education, real-world assessments of responses to Generative AI in business and industry, and [...]

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Syllabi Policies for AI Generative Tools

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poe.com

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Blackboard Ultra: Content Modules, Rubrics, Test Questions.
Perusall: Discussion Prompts
Quizlet: Flashcards and prompts from lesson plans or student notes.
Creative Cloud: Premiere Pro Interactive Transcript, GenAI background in Photoshop.

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MIT Sloan Teaching & Learning Technologies

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Teaching with Generative AI Resource Hub - MIT Sloan Teaching & Learning Technologies

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Explore our Teaching with Generative AI Resource Hub to unlock AI’s potential for enhancing teaching and learning at MIT Sloan.

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Using Chat Bots to practice other languages

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Using Chat Bots to practice other languages

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ChatGPT and other chatbots are available in a variety of language. Ask the students to engage with the bots and have a conversation of 10 lines or more, as an assignment.

Explain and discuss a topic to a Chatbot in a language they are learning, such as Spanish, etc.

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GenAI is often only as good as the prompts submitted. Ask students to submit a prompt that outputs the correct answer and that requires less modification from the student.

This would be a good assessment for how the student is thinking. Are they identifying an audience, a minimum for the out, are they listing known facts? How does the student engage with GenAI is just as important.

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D: Define the stages of the project, enumerate each stage's purpose in achieving student learning.

E: For each stage, evaluate specific AI technology to pair with the learning activity.

E: Encourage students to explore that specific AI technology for the stage.

R: Provide students with space for reflection (journal entries, reflective subsections in their submissions).

Writing Class
Define the stages of a research paper assignment and provide the students with specific AI tools for each stage.

Research stage - Explain Paper / SciSpace / Otter AI

Outline Stage -  ChatGPT/Elicit, Fermat.

Rough Draft Stage - Wordtune

Final Draft - Student only

Reflection - Student only

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1. Ask 20 questions of AI
2. Human vs. AI output comparisons
3. Think-Pair-ChatGPT-Pair-Share
Source

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I'm a grad student at Texas Tech University and I'm using as an AI assistant for checking my knowledge against it. I use POE an app that collects all the chatbots into a single application. I am primarily using ChatGPT 3.5 and I ask it for definitions and summaries. I check against it after I submit my homework assignments.

I've also used it to test R code. While reading the textbook, I might ask it to give me the code for this or that graph, this or that procedure. And I will run it in R Studio.

E.g.
# Define a vector of numbers
numbers <- c(10, 15, 20, 25, 30)

# Calculate the average
average <- mean(numbers)

# Print the average
print(average)

It's been an interesting experience and the embracing of AI as a personal assistant, could raise the complexity or artifacts that we ask of students in their classes.