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What is AI plan? Post 3: LLMs (week 4) [Introduction to Digital Humanities]
Before this week of class, I had no idea what the exact purpose of an LLM (Large Language Model) was. I also didn't know it was the main backbone for generating answers in key AI apps, like ChatGPT and Copilot. The most interesting fact I found out was how it actually operates. The input text iThe 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 abouUnderstanding 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 takeawaLLMs 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