4.4 Investigating LLMs
In this lesson, students interact directly with several LLMs to evaluate model performance and think critically about implications of model output for their work, their peers, and for society.
In this lesson, students interact directly with several LLMs to evaluate model performance and think critically about implications of model output for their work, their peers, and for society.
In this lesson, students interact directly with several LLMs to explore differences in model output and performance. Through a guided investigation of LLM responses to different prompts, students learn that LLM output is 1) a probabilistic (answers are different nearly every time) and 2) not based on ground truth. They also learn to build different prompts or prompt frameworks for different purposes.