Generative AI workflows and hacks

Prompt engineering

Writing matters

Rattibha pro-tips: ChatGPT is everywhere and everyone is using it. But most academics don't know how to use it *smartly. part 1 part 2

Spoken speech is full of redundancies, repetitions, and false starts.

To clean it up, I needed to remove these redundancies

And that's where ChatGPT comes in.

Coding matters

Economics of

This is the thing I am most deeply interested in theoretically

GPT and the Economics of Cognitively Costly Writing Tasks

To analyze the effect of GPT-4 on labor efficiency and the optimal mix of capital to labor for workers who are good at using GPT versus those who aren’t when it comes to performing cognitively costly tasks, we will consider the Goldin and Katz modified Cobb-Douglas production function

More at LLM economics



Kim, Geunwoo, Pierre Baldi, and Stephen McAleer. 2023. Language Models Can Solve Computer Tasks.” arXiv.
Suzgun, Mirac, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, et al. 2022. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.” arXiv.
Wang, Xuezhi, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023. Self-Consistency Improves Chain of Thought Reasoning in Language Models.” arXiv.

1 comment

Michael Scharrer

I think the idea of using LLMs to create structure instead of content is great. They are great at structure, tone, style, etc. The generated content is sometimes ok and sometimes just horrible. Yet most people want it to generate content. It's strange, really.
Reply to Michael Scharrer

GitHub-flavored Markdown & a sane subset of HTML is supported.