> I wonder if any other professional fields have found a way to improve their workflows with it?
It’s absolutely incredible for content creation in a few ways:
1. For content posts, a good prompt can turn a 2-hour writing session into a 15 minute editing session.
2. Creating texts in foreign languages. This can be content, ads… anything. It’s still better to run whatever you make by a native speaker, but they typically only need to edit rather than create. As such, the time/cost per unit of content is much lower.
3. Combine AIs to make multimedia content — for example, one AI for a script, another AI for voices, and another AI for images. We have only scratched the surface of what is possible here.
Fwiw, I just started a project using multiple AIs to develop content for foreign language learning. It’s incredibly powerful and ridiculously fast compared to previously existing methods.
>but having to double and triple check the output generated became tiresome.
There are things that you can verify instantly. Example: "in gnu units, how do you convert days to hours and minutes". After 3 googles I could not find the syntax to use multiple output units. ChatGPT got it in one try.
Thank you for mentioning this example. I never knew units had that feature! (Also, to save the next person the few seconds to try out the most plausible symbols, it's "You want: hours;minutes" with semicolon.)
I find the problem with the errors (in 3.5) is that they're not the kind of human-made error we're used to detecting, so the process of parsing the responses feels more arduous and sometimes confusing.
One good use case my friend shared was "create a list of CEO/CFO/COB of the following companies in this format (csv file format)" and send a list of companies.
Someone was going to write a scraper to look all this information up based on company sites or SEC reporting, but chatgpt4 was able to do this in less than 5 minutes (of course YMMV for veracity, but in this case an 80/90% solution was a much better start than spending a day scraping hundreds of sites.
In my experience going from 3.5 and 4 is going from generally useless novetly to indispensible team member. Yes it gets things wrong, so do I! My experience of working with GPT4 (except for a couple of weeks back when they made some change that made it SUPER dumb from which they seem to have recovered now) is that it's a bit like having a mid-level staff member that understands instructions really well, works almost instantly and sometimes makes mistakes.
I use it for everything. Random questions/research, generating code, documentation, short stories for the kids/fun, etc. Good enough it is quite often good enough.
It only three current limits, or I'd use it even more:
- Length
- Ability to import data/documents (Data Analysis is limited)
I tried using it as a replacement for a search engine but having to double and triple check the output generated became tiresome.
It kind of works for writing simple functions but anything beyond that I found it gets it wrong. Again, double/triple checking became tiresome.
I wonder if any other professional fields have found a way to improve their workflows with it?