babakd

3 ms·

1. 1.▲
   AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model(arxiv.org)

   41 points by babakd 3y ago|4 comments
2. 2.▲
   by babakd 4y ago

   The speaker prompt is the sample speaker voice reading a random text, that’s one piece that the model uses as input. The second column corresponds to the human speaker reading the text (ground truth) The two next columns are baseline and VA
3. 3.▲
   by babakd 7y ago

   Joey?
4. 4.▲
   by babakd 7y ago

   What’s the study’s control group? If we compare the number of companies founded by students over different time periods it doesn’t say much about the effects of the “brain drain”.
5. 5.▲
   by babakd 8y ago

   Instagram doesn’t https://trends.google.com/trends/explore?geo=US&q=Instagram
6. 6.▲
   by babakd 8y ago

   That's standard language.
7. 7.▲
   by babakd 10y ago

   I'd categorize answering a question under mapping a sentence to an action.
8. 8.▲
   by babakd 10y ago

   The argument the author uses is invalid. NNs are equally strong at modelling sparse signals, provided that they could be mapped into a continuous space, what is commonly referred to as an 'embedding'. The premise of the article is
9. 9.▲
   by babakd 10y ago

   The problem with deep learning and language understanding is that the task is ill-defined end-to-end. For speech, image understanding, and translation, you can come up with large datasets of x->y and have deep learning learn a complex fu