eclectic, pragmatic, enthusiastic
A significant amount of time, effort, and resources go into training large language models (LLMs) to follow instructions. In fact, after the initial pre-training step, many models are specifically instruction-tuned in order to make them better at following instructions. If you’ve ever been poking around Huggingface and wondered why some models have “Instruct” in their … Read more
Large language models (LLMs) make it possible for faculty to rapidly create a wide range of formative and summative assessments for their students. And, as we hear about so often, students can also use LLMs to write their essays and complete other assignments. (Apparently, when faculty use AI to create assignments, it’s a “productivity gain.” … Read more
The earlier we all start thinking about this problem, the sooner we can start generating ideas and potential solutions. Given the magnitude of impact generative AI is having and will have in education (and many other aspects of life), I’m working with some diligence to keep up to date with developments in the field. Recently, … Read more