Anything else would have suprised me. I can‘t speak for this type of academic writing, but for „pair“ programming and creating more fluffy documents, chatgpt is a killerapplication.
So today I reviewed a series of emails about issues in a particular area of the business I work for, I then ensured each issue was captured in a ticket (most of these were present and just needed a review or additional detail), after this I composed an email for a couple of executives that deal with that area summarizing the issues and asking for some clarification.
How would people use chatgpt here?
I’d paste the text of an email, and ask it to rewrite it as a technical support ticket. In the same chat, I’d then ask it to summarise key points of all tickets in the form of an email to the CTO or whoever. Paste, edit, send.
Edit: I should also say, I’ve found the open source models to be worse than ChatGPT at this sort of thing. They can’t parse out huge amounts of cruft data like html to extract only the useful text, it seems like.
I might throw the email into it to see what it would done differently. I can remove identifying info.
I started using it to jump-start coding projects by writing the boilerplate that I could then fill in and focus on things that were more important. To put it in perspective, I was able to produce a prototype for a client in about two weeks rather than a month to a month and a half. I’d never use it to produce an entire project out of whole cloth, but I’ve found that it’s super useful for getting the big pieces done quickly so that I can focus on fine tuning and making a product better. I also started using it for a starting point in professional letters and other such mundane writing activities of work. So far, it’s been great for giving me a starting place that I can improve from while making my work faster.
So, I’m not surprised that those using LLMs have improved their productivity.
