Voices

Recent Posts from Voices

• The Wonderful Statistical World of LLMs [Introduction to Digital Humanities]
  The most interesting thing I learned about LLMs was how GenAI can not only produce bias information but also that overall A.I. bias can be more extreme than real-world bias. This was covered in Jon Cheung's article for The London Interdisciplinary school. I think most people don't really think abou
• Understanding AI In This New Day of Age By: Kaleel Thomas [Introduction to Digital Humanities]
  What happens when you hand a machine your sources and ask it to do the reading for you? That question sat at the center of our unit on language-model research tools, and the answer turned out to be more complicated, and more interesting, than I expected. In this post I want to share the one takeawa
• LLMs My Major Takeaway + Thoughts [Introduction to Digital Humanities]
  My main takeaway from this week's classes, simply put, is that the user's input dictates the majority of the Large Language Model's (LLM) output. If LLM users want to produce intended results, they need to be specific in their prompts. This includes detailing the audience, message intention, a
• LLM Post: Eric S [Introduction to Digital Humanities]
  The most interesting thing that I've learned about Language Learning Models(LLMs) this past week was that they don't actually try to predict the right answer for the prompt, but that they purely go off of statistics with a little bit of context. I found the term 'Stochastic Parrot' from Emily Bende