Nice work, you did a good thing 😊
Nice work, you did a good thing 😊
That’s fair, I didn’t think through my joke very well lol. Honestly Lemmy is wonderful but let’s face it it’s kinda an eco chamber with a few trolls, so I guess it would be kinda like the fake Good Place 😅
Welcome! To the good place
I would also like to know this!
I’ve built a couple of useful products which leverage LLMs at one stage or another, but I don’t shout about it cos I don’t see LLMs as something particularly exciting or relevant to consumers, to me they’re just another tool in my toolbox which I consider the efficacy of when trying to solve a particular problem. I think they are a new tool which is genuinely valuable when dealing with natural language problems. For example in my most recent product, which includes the capability to automatically create karaoke music videos, the problem for a long time preventing me from bringing that product to market was transcription quality / ability to consistently get correct and complete lyrics for any song. Now, by using state of the art transcription (which returns 90% accurate results) plus using an open weight LLM with a fine tuned prompt to correct the mistakes in that transcription, I’ve finally been able to create a product which produces high quality results pretty consistently. Before LLMs that would’ve been much harder!
You overestimate the technical competence and attention span of the current generation of kids - they barely know how to use a mouse.
IMO if any kid these days manages to do enough work to figure out how to do anything on Linux, they’re probably well ahead of the pack and deserve to play their game as a reward 😅