Practical Deep-Dive on ChatGPT in Science

Revisit this workshop for insights on how to work around technical capabilities and limitations of the tool, what makes for an effective prompt, and other practical questions around the use of ChatGPT.

00:00 Introdution: ChatGPT introduces itself
06:04 Microsoft's Bing overview
08:47 Google's Bard overview
10:57 Tips for prompts
14:59 ChatGPT limitations
16:42 Risks and concerns
17:28 Definitions, history and where we are going
20:34 History of AI development, told in the style of Donald Trump
22:06 Extra take-aways
25:16 ChatGPT responds to examples from the audiences
30:20 Live example 1: Rewrite an article in very complicated academic language into plain English. Then translate it to Spanish
32:48 Live example 2: Provide a guided learning experience on building your digital skills
35:14 Live example 3: Improve your negotiation skills when asking your manager for a salary raise
37:55 Live example 4: Assist in the formulation of a research proposal, including hypothesis generation and experiment design
42:28 Live example 5: Evaluate the potential risks and ethical considerations associated with a proposed research study
43:47 Live example 6: Create a personal marketing plan for an academic article
45:48 Generative AI: what's coming
47:44 Text-to-deck: AI tools to create presentations