Mostly anecdotal and also based on the large gap between benchmark performance and actual performance on personal use
This company has a track record of cheating on benchmark by training on test datasets. Take it with pinch of salt and try the model yourself.
Isn’t 2009-2019 gain much greater than 1999-2009 gain? What makes you think that the next 10 years will generate smaller return?
How does it compare to the more popular Material UI?
If you want to get cool jobs in AI, you do need PhD.(i.e. https://careers.google.com/jobs/results/6231594434232320-res..., https://www.quora.com/Does-the-AI-team-at-Facebook-hire-rese...). Those that don’t are just…
How big is the dataset you usually deal with? From my experience, you hit computational bottleneck pretty quickly with GPs (100k datapoints of maybe 100 dimensions is pretty much the max you can deal with). And if you…
I am not an expert in video encoding. Just curious, what does Hwang offer that ffmpeg doesn't?
Mostly anecdotal and also based on the large gap between benchmark performance and actual performance on personal use
This company has a track record of cheating on benchmark by training on test datasets. Take it with pinch of salt and try the model yourself.
Isn’t 2009-2019 gain much greater than 1999-2009 gain? What makes you think that the next 10 years will generate smaller return?
How does it compare to the more popular Material UI?
If you want to get cool jobs in AI, you do need PhD.(i.e. https://careers.google.com/jobs/results/6231594434232320-res..., https://www.quora.com/Does-the-AI-team-at-Facebook-hire-rese...). Those that don’t are just…
How big is the dataset you usually deal with? From my experience, you hit computational bottleneck pretty quickly with GPs (100k datapoints of maybe 100 dimensions is pretty much the max you can deal with). And if you…
I am not an expert in video encoding. Just curious, what does Hwang offer that ffmpeg doesn't?