Re:Deep learning job postings have collapsed in the past six...
by danieldk on Monday August 31, 2020 @01:47PM
(#24333990)
I do not agree with this. I work heavily with NLP models for production in the Legal domain (where my baseline is where a 8GB 1080 must predict more than 1000 words/sec).
What kind of network are you using? I can do near-SoTA multi-task syntax annotation [1] with ~4000 tokens/s (~225 sentences/s) on a CPU with 4 threads using a transformer. Predicting 1000 words/second on a reasonably modern a GPU is easy, even with a relatively deep transformer network.
[1] 8 tasks, including dependency parsing.
Re:Deep learning job postings have collapsed in the past six...
by maxlamb on Monday August 31, 2020 @11:12AM
(#24332268)
Interesting. What's the main goal(s) of your NLP models?
Re:Deep learning job postings have collapsed in the past six...
by bratao on Monday August 31, 2020 @11:41AM
(#24332564)
We work on multiple models, all related to legal proceedings and lawsuits, such as:
- Structure Judicial Federal Register texts
- Identify entities in Legal texts (citation to laws, other lawsuits)
- Predict time to completion, risk and amount due of a lawsuit
- Classifying judicial proceedings to non lawyers
Little things compound such as optimizers ( Ranger/Adahessian), better RNN ( IndRNN, Linear Transformers, Hopfield networks ) and techniques (cache everywhere, Torch script,gradient accumulation training)