To learn more about the design of our interactive learning resource, see the drop-down menu under Course Overview or follow the links below:
An overview of the resource (this page)
A description and rationale for the learning theory.
A description and rationale for the learning design.
A description of our learning context.
Our learning outcomes.
Brief commentary about each topic and activity.
Our assessment plan.
Overview of plans to design for inclusion of diverse learners.
A rationale for our technology choices.
To gain a comprehensive understanding of AI language models and their applications.
To enhance career prospects in fields like data science, natural language processing, and AI research.
To address ethical considerations associated with AI language models.
In-depth knowledge of the architecture, functioning, and limitations of AI language models.
Improved evaluation skills for assessing the accuracy and reliability of language model responses.
Understanding of the societal impacts of AI language models on employment, education, and human-AI interaction.
Insights into responsible and ethical usage of AI language models.
Enhance career prospects in AI-related fields.
Contribute to responsible AI development and deployment.
Make informed decisions regarding the use of AI language models.
Stay updated with the latest advancements and future directions in AI language models.
"The AI Language Model Guide" by Hugging Face: This guide by Hugging Face provides an introduction to AI language models, including ChatGPT, along with practical examples and tutorials for working with these models using the Hugging Face library. Link: The AI Language Model Guide
"AI Language Models: ChatGPT and Beyond" by OpenAI Blog: This blog post by OpenAI provides insights into the development of ChatGPT, its capabilities, and potential applications. Link to the blog post