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.
Trustworthy Generative AI
Trustworthy Generative AI
This course is part of multiple programs.
Instructor: Dr. Jules White
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4.8
(361 reviews)
Beginner level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
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
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Assessments
2 assignments
Taught in English
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There is 1 module in this course
What's included
12 videos4 readings2 assignments
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4.9 (102 ratings)Offered by
Recommended if you're interested in Machine Learning
DeepLearning.AI
Edureka
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University of Glasgow
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