How RNNs (Recurrent Neural Networks) + Transformers Work

This assignment, by AI4ALL, is from the RNNs & Transformers Google Drive, which also includes all the related materials for the activity. The assignment includes standards for K12 students, but it can easily be used in the college classroom as well.

The summary from the site explains:

This curriculum is meant to be an introductory hands-on deep dive into the technical details about how some AI systems that generate content work using context. In the end, students will teach others what they have learned.

Key Features of This Assignment

Hands-on Learning
This activity introduces the technical details of how AI systems generate content using context, allowing students to engage actively with the material.
Interdisciplinary Approach
This activity integrates standards from ISTE and AI4K12, and connects particularly well after studying Sentiment Analysis and NLP, making it suitable for various subjects including Creative Arts and Computer Science.
Project-Based Assessment
Students culminate their learning by designing and executing a project to teach others about RNNs and Transformers, reinforcing their understanding through teaching and real-world application.