[specproc]

Nice, that sounds like it's worth exploring. Much appreciated.

Again though, it's the zero-effort part that's appealing. I'm on a very small team and getting that to close to the same standard will take time for a ham-fisted clod like myself. Worth giving a shot all the same though, thanks again.

[leobg]

The zero shot ability is convenient. But for tasks that you need to get done millions of times, I’d much rather spend $10 on GPU compute and maybe a day of training data generation to train a T5 which I then “own”.

Also, running your own specialized model locally can be much faster than using someone’s API.

[specproc]

Sure, purely a time issue for me. I'm not the most skilled in this area, and I've got a load of core stuff I need to keep on top of.

I think we're not far off having something equivalent that can be pulled from Huggingface and run on a near consumer grade GPU.

For now, I'll hang tight and see how things progress. Don't disagree.

[leobg]

Maybe one day you’ll be able to tell ChatGPT what kind of model you need and it’ll automatically select the right architecture, gather the training data, and commission the training using the cheapest and/or fastest provider. :)

[pfdietz]

It's interesting what you can do with ChatGPT with few shot learning. It generalizes at the drop of a hat, often correctly.