The main use case for LLMs is writing text nobody wanted to read. The other use case is summarizing text nobody wanted to read. Except they don’t do that either. The Australian Securities and…
I had GPT 3.5 break down 6x 45-minute verbatim interviews into bulleted summaries and it did great. I even asked it to anonymize people’s names and it did that too. I did re-read the summaries to make sure no duplicate info or hallucinations existed and it only needed a couple of corrections.
good tools are designed well enough so it's clear how they are used, held, or what-fucking-ever.
fuck these simpleton takes are a pain in the arse. They're always pushed by these idiots that have based their whole world view on fortune cookie aphorisms
How did you make sure no hallucinations existed without reading the source material; and if you read the source material, what did using an LLM save you?
I also use it for that pretty often. I always double check and usually it's pretty good. Once in a great while it turns the summary into a complete shitshow but I always catch it on a reread, ask a second time, and it fixes things up. My biggest problem is that I'm dragged into too many useless meetings every week and this saves a ton of time over rereading entire transcripts and doing a poor job of summarizing because I have real work to get back to.
I also use it as a rubber duck. It works pretty well if you tell it what it's doing and tell it to ask questions.
what if your rubber duck released just an entire fuckton of CO2 into the environment constantly, even when you weren’t talking to it? surely that means it’s better
Yup! I’ll feed in meeting transcripts and get a list of action steps to email out to everyone. If I was in project management, I’m pretty sure i’d outsource my entire job to LLMs.