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As a grad student in this field, Meta has always had great contributions to the open source machine learning effort, through no small effort of Yann LeCun's int
by polygamous_bat 4y ago
As a grad student in this field, Meta has always had great contributions to the open source machine learning effort, through no small effort of Yann LeCun's internal advocacy. What has changed recently is their PR strategy: OpenA(P)I has basically shown everybody that it doesn't matter if you have the best models if your publicity sucks.
- sashank_1509 4y agoI'd have to disagree. Meta was always great at releasing papers but they never scaled stuff up until like a year or so, such that things start to work in the real world outside of datasets. Glad to see, we're done with the 2% improvement in dataset papers in CVPR, I would now like to see real world performance results.
- polygamous_bat 4y ago"Scaling things up" in and of itself is a very recent phenomenon. I would claim, in that sense that nothing before GPT-3 counts. However, for not-so-scaled models, Meta or rather FAIR, had good contributions with available code that were interoperable with other research in the field. Compare that with, say, Google research/brain/deepmind, which always put out lofty papers that never allowed reproducibility.
- impulser_ 4y agoThey gave us PyTorch. That's more than enough to appreciate their contribution.