3 ms·
Some of your bullets describe methods not useful functions, e.g. > natural language processing using semantic word vectors and attentional recurrent models Wh
by not_a_moth 7y ago
Some of your bullets describe methods not useful functions, e.g.
> natural language processing using semantic word vectors and attentional recurrent models
Where has that made a big impact? Marginally better auto translation between English and French, or random text passage generation that's at best uncanny valley?
Probably still falls under OP's heading of "a tool that might help in limited, specific scenarios".
- alexcnwy 7y agoThe impacts in improved translation aren’t marginal - they improve people’s lives in real ways. Advances in deep learning for NLP have also significantly improved search (Google and others) which has a nontrivial impact on people’s lives. Multi-modal models that translate images into words have a significant impact for blind people. Deep learning is significantly improving medical diagnosis, crop yield, assistive robotics, and many other specific scenarios. Specific scenarios matter and again, it’s still very early days...