We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.

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Trustworthy Generative AI
This course is part of multiple programs.

Instructor: Dr. Jules White
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What you'll learn
What problems actually make sense to solve with Generative AI
How to frame problems and prompt engineer to produce more trustworthy results from Generative AI
Skills you'll gain
- Category: Ideation
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: ChatGPT
- Category: Verification And Validation
- Category: Prompt Engineering
- Category: Generative AI
- Category: Risk Management Framework
- Category: Human Machine Interfaces
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There is 1 module in this course
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12 videos5 readings2 assignments
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Reviewed on Jan 8, 2025
The messages about how to use IA , what kind of problems are adequated to be treated is very useful. However models las gpt4o1 may need some different approaches
Reviewed on May 22, 2024
Great course! The three part series provides practical information and exercises to enable the learner to use generative AI as an amazing assistant to the person. I highly recommend this series.
Reviewed on Jun 11, 2024
The assignments were harder than I thought but they allowed me to understand the problems with Generative AI and how to manage those weaknesses appropriately.
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