come on, I’ve trained toy size models too, you can’t seriously say they’re even vaguely approaching the capability of models that takes a whole massive server farm weeks or months to train.
If you do one simple task like I do in my job yes you can make a small one purpose built. Work in reading comprehension before commenting. If you re read which I know might be hard for you, you can see I said make it for a specific task. Example for you since you’re going to try and counter because you’re an idiot. I have to fill in the same multiple fields on an excel table for state documents. This is pulled from a sql database I literally have a model where it does that for me with natural language processing instead of me being a tool and using python exclusively when I already did that to make the easy simple tool. I suggest Amazon for reading comprehension before commenting books. If you message back I’ll send you some recommendations I tell to my students.
Right, and what proportion of enterprise use cases genuinely need an appreciable fraction of that power (because they are wide ranging and non-repeating)?
Anyone that says these things aren’t impressive is kidding themselves. But how do we get from impressive to productivity enhancing in excess of cost? I find smaller specialised models more plausible on that front, but jury is still out on the financials, we’ll find out I guess!
come on, I’ve trained toy size models too, you can’t seriously say they’re even vaguely approaching the capability of models that takes a whole massive server farm weeks or months to train.
If you do one simple task like I do in my job yes you can make a small one purpose built. Work in reading comprehension before commenting. If you re read which I know might be hard for you, you can see I said make it for a specific task. Example for you since you’re going to try and counter because you’re an idiot. I have to fill in the same multiple fields on an excel table for state documents. This is pulled from a sql database I literally have a model where it does that for me with natural language processing instead of me being a tool and using python exclusively when I already did that to make the easy simple tool. I suggest Amazon for reading comprehension before commenting books. If you message back I’ll send you some recommendations I tell to my students.
Right, and what proportion of enterprise use cases genuinely need an appreciable fraction of that power (because they are wide ranging and non-repeating)?
Anyone that says these things aren’t impressive is kidding themselves. But how do we get from impressive to productivity enhancing in excess of cost? I find smaller specialised models more plausible on that front, but jury is still out on the financials, we’ll find out I guess!