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There's no way there's only 10% left to improve in those models. New versions are coming out regularly that are clearly improved. Midjourney v5 and GPT-4 were j
by jasfi 4y ago
There's no way there's only 10% left to improve in those models. New versions are coming out regularly that are clearly improved. Midjourney v5 and GPT-4 were just released showing huge improvements, for example.
Not only that, but the innovation around this tech is also just getting started. It's immediately applicable for business use. The classical techniques still have their uses, of course.
- ulrikhansen54 4y agoIt's not that there's only 10% left to improve. It's that the data needed, compute requirements, and model size are as intensive, getting from 0 to 80 as they are getting from 80 to ~85 or ~90. See https://paperswithcode.com/sota/image-classification-on-imagenet https://paperswithcode.com/sota/image-classification-on-imag...
- jasfi 4y agoThey're constantly bringing down the compute requirements. I've seen regular Open Source stories on HN about people finding impressive optimizations.
- qorrect 4y ago> Not only that, but the innovation around this tech is also just getting started. You mean since the 2010's ?