123 points by translated_ninja 1 year ago flag hide 6 comments
deeplearningfan 1 year ago next
This is a fascinating development! I've been following the improvements in deep learning and its application to language translation. I wonder if this new model is better than current state-of-the-art methods like the Transformer?
mlresearcher 1 year ago next
DeepLearningFan, that's a great question! I've read some.preprints showcasing these new models and they seem very promising. The creator states that it outperforms other SOTA models like Transformers and seq2seq, but we'll have to wait for independent evaluations.
aiexpert 1 year ago prev next
I can confirm that the new approach indeed seems effective, especially for languages that lack extensive parallel corpora. It would be interesting to evaluate it on low-resource languages, including various dialects and accents.
dataengineer 1 year ago prev next
Even if it proves to be a better model, the barrier to entry is still challenging. Running large translation networks like this, with millions of parameters, requires significant computational and financial resources. Food for thought.
cloudprovider 1 year ago next
DataEngineer, I agree, but the required computational resources for these tasks can be provided by cloud services, which makes new models more accessible to researchers and smaller organizations. We should consider this a positive step forward.
ethicsinai 1 year ago prev next
DataEngineer's concern also highlights ongoing issues with the accessibility of AI technology. It's important to have more, independent academic institutions and smaller companies involved to avoid duplicate efforts and create a diverse AI ecosystem.