Dive into the realm of Generative AI and ChatGPT through this short and engaging microcredential course.
The course is split into two parts. In the first part we'll explore some of the theoretical concepts behind Generative AI, covering trigrams, Large Language Models, Neural Networks, and Reinforcement Learning from Human Feedback (RLHF).
In the second part, we'll delve into practical applications of ChatGPT, giving you a clear understading of the capabilities generative AI tools like ChatGPT, while also examining the potential biases and pitfalls associated with its use.
This course is in English
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Introduction to Generative AI & ChatGPT
Presented by Andreas Møgelmose.
Dive into the realm of Generative AI and ChatGPT through this short and engaging microcredential course.
The course is split into two parts. In the first part we'll explore some of the theoretical concepts behind Generative AI, covering trigrams, Large Language Models, Neural Networks, and Reinforcement Learning from Human Feedback (RLHF).
In the second part, we'll delve into practical applications of ChatGPT, giving you a clear understading of the capabilities generative AI tools like ChatGPT, while also examining the potential biases and pitfalls associated with its use.
The course is structured in two parts. In the first part we'll dive under the hood a learn a bit about how generative AI and Large Language Models work, and in the second we'll show you how use generative AI in academic practices.
The course consists of 2 modules, and the expected workload is around 3-4 hours.
If you have any questions do not hesitate to reach out via micro@aau.dk