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Tech Tuesdays: Microsoft Copilot

copilot

When it comes to Large Language Models (LLMs), there is a bewildering myriad of models to choose from. What are the best models for DePaul faculty, students, and staff to use in work and research?

In this engaging and productive session, we will focus on “Microsoft Copilot.” Copilot is the term that Microsoft uses for its AI tools and services. This can be a little confusing, given the various Microsoft products using similar names (Microsoft Copilot, Copilot for Microsoft 365, Github Copilot, Copilot for Sales, etc.). Microsoft Copilot is a free service that provides access to GPT 4 and DALL-E 3.

Microsoft Copilot, when used with DePaul credentials, provides you with important protections and safeguards that you may not find when using other free generative AI services, including:

  • Chat data is not saved.
  • Chat data is not used to train AI models.
  • Citations accompany generated textual content.

Topics covered:

  • Ethics.
  • Conversational styles (Creative, Balanced, Precise).
  • GPT 4 access.
  • Generative imagery (DALL-E 3).
  • Data protection.
  • Differences and similarities between Github Copilot, Microsoft Copilot, Copilot for Microsoft 365.
  • Document summarization and analysis.
  • Prompt engineering techniques.
  • Suggested classroom use.
  • Hallucinations.
  • Context windows and character limits.
  • Future developments.
  • Competing LLMs for consideration.
  • And more…

This will be a Flex session. You are welcome to attend in person or virtually via Zoom. The session will be recorded (streamed recording available upon request).

  • Date: Tuesday April 30.
  • Time: 12-00 - 1:00 PM.
  • Location: Flex - Zoom or Lewis 1002 (10th floor of the Lewis Center - connected to the DPC 8th floor via the skybridge).

DePaul faculty and staff can register here.

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Microsoft Copliot Update

Microsoft has an update on use of Copilot for EDU.
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4th Annual Marketing Tricks And Treats Event

Trick-and-Treat-Flyer-2023
The 4th Annual Marketing Tricks And Treats Event will be in DPC 7500 on Wednesday October 26 from 3:00 - 5:00 p.m.
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AI Syllabus Statement

Here is the AI Syllabus Statement I am currently using in my courses. This may change, but thirds what works for me at the moment:

Work done for this course must adhere to the University Academic Integrity Policy, which you can review in the Student Handbook or by visiting Academic Integrity at DePaul University.

However, this is a course in which you are allowed to use generative AI (Artificial Intelligence) in your assignments – in some assignments I will require that you use generative AI. Please note that other courses at DePaul may not allow use of generative AI – always ask your professor in writing if you are unsure of what the academic integrity policies are for your course.

In this course we will demonstrate that generative AI will confidently fabricate information. This process is known as “AI hallucinating.” Be aware that AI-generated content may contain untruths. Large Language Models (LLMs) respond and write like humans, but importantly they do not know empirically what is false or true - just a plausible narrative written probabilistically. Crucially, a LLM may not understand the difference between an important error and an unimportant error.

Thus, I would like you to cite your use of generative AI when you submit your assignments. You can do this by creating an appendix and noting the prompts that you used with a particular LLM and the responses your received.

The process of citing generative AI is evolving. Please look at these three sources for guidance:

  1. ChatGPT Citations | Formats & Examples
  2. How do I cite generative AI in MLA style?
  3. How to cite ChatGPT
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Better Living Through AI: How to Use Smart Tools to Enhance Your Teaching and Learning

Better Living Through AI - Flyer

I will be running another Tech Tuesdays with a focus on AI in May.

Are you ready to take your teaching and learning to the next level? Do you want to discover how artificial intelligence (AI) can help you create more engaging, effective, and personalized educational experiences? Do you want to see how AI can streamline some of the daily grind. If so, you don’t want to miss this Tech Tuesday.

Join us for “Better Living Through AI: How to Use Smart Tools to Enhance Your Teaching and Learning”, a one-hour Tech Tuesdays that will show you practical ways to use AI tools for faculty and staff. You will learn how to use AI tools for improve and simplify communication, assessment, and personalized learning. Using free and open-source tools to transform your teaching and learning outcomes.

We will have a particular focus on “prompt engineering” – the recipes that coax the optimal results from AI.

  • Date: May 30
  • Time: 12-1 PM
  • Location: Flex (Zoom or DPC 8209)

Hope you can be there. You can register here.

My resources can be found here:
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