Microsoft 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:
• 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.
• Ethics.
• 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).