Earlier quoted context omitted.
You can do plenty of "real engineering" under normal conditions. But specifically when it comes to LLM engineering, no there's really not much you can do, they are called "large" for a reason. You can play around at small scale, but those lessons you learn will not be very relevant to the real problems in the market. Sure you can gradually climb the ladder by demonstrating your skills bit by bit and getting access to…
> I know how to build an LLM, I know plenty of fellow young engineers that do too. It's really not that complex. I’m 40, and I don’t.I took that abstraction for granted and “left it to the big labs”. However I want to build my own LLM for learning purposes. On needing big expensive hardware.. necessity is the mother of great innovation. Perhaps 18year olds trying to build their own LLMs in constrained resources envir…
Maybe with a decent consumer GPU like a 4090, you could do experiments like distilling and fine tuning a small image model for edge deployment for specific tasks.
Even there, many use cases might require renting compute for $10/hour and investing a few hundred.
A LLM from scratch? Forget it. You can do theoretical experiments, but not build anything remotely useful with that kind of budget.
If you're talented enough to come up with revolutionary methods, maybe an university or AI lab would be the place to be.