jaschau
jaschau t1_j2wfnzl wrote
Reply to comment by Intelligent-Aioli-43 in [R][D] Overlooked AI/ML papers from 2022 by Neurosymbolic
Thanks for the hint! It's certainly been an overlooked paper for me. Looks interesting. Have you used it? Does it work in practice as the authors advertise it?
jaschau t1_itk0o02 wrote
Reply to comment by sharky6000 in [D] Building the Future of TensorFlow by eparlan
Completely agree with you there that the numbers are certainly correct. I just felt like they might not tell the whole story. For example, looking at the section where they say, I paraphrase, "x preprints are uploaded every day that mention TF", I don't doubt the numbers, but the way they tell it certainly evokes a different image compared to saying "the share of preprints relying on TF has been steadily declining the past years".
Regarding the many TF users out there, I would be curious what the main benefit is for them. Is it TPU support, TF serving, TF lite, something else?
jaschau t1_itguay4 wrote
Reply to [D] Building the Future of TensorFlow by eparlan
Am I the only one for who the announcement feels a bit out of touch with reality?
jaschau t1_j30oful wrote
Reply to comment by Intelligent-Aioli-43 in [R][D] Overlooked AI/ML papers from 2022 by Neurosymbolic
Thanks a lot for the feedback, I guess I'll give it a shot then. Kind of surprising to see tf 1.x in a 2022 publication, I guess I'm just glad it's not caffe :D