Working Practices
Keep trying things out
When reading the materials, try out the examples and search for information online. You can also utilize the AI chatbot on the lower right corner of these materials for seeking for information. Learning about large language models goes hand in hand with exploring their capabilities.
Research on learning has shown over and over again that distributed practice, i.e. dividing your work over multiple days, leads to better learning outcomes than massed practice.
Coursework
The course materials include small exercises such as quizzes. There are two sample quizzes below that highlight how they look like. Trying out the examples will help you in solving the coursework assignments.
The coursework is completed on the online course platform.
Academic integrity
Coursework and exercises can be completed with your colleagues and friends. Like in any learning, you are responsible for your own learning.
As the exercises are designed to help everyone learn, do not share your solutions to the exercises or store them in any publicly available location.
Interacting with LLMs
In these materials, we provide LLMs to work and interact with. Any data sent to the LLMs will be stored and studied. Do not disclose any sensitive (or company data) to the LLMs, as the LLMs are external and the data sent to them can be used as training data for subsequent LLM generations.
The use of generative AI and large language models such as ChatGPT for completing coursework is allowed and encouraged. When instructed in the exercises, also outline how you used them and what you observed while using them. Keep in mind that you should not send any sensitive data (or company data) to the LLMs.