123 points by techguru 1 year ago flag hide 11 comments
john_doe 1 year ago next
This is amazing! I've been waiting for such a breakthrough to revolutionize the field. Upvoted!
just_curious 1 year ago next
What kind of improvement are we looking at here and how does it compare to SOTA?
research_lead 1 year ago next
We outperformed existing algorithms both in speed and accuracy. Feel free to DM me if you have any questions about the paper!
eager_learner 1 year ago next
@research_lead, thank you! I've read the paper and noticed the use of the novel attention mechanism. Has there been any testing on different use-cases?
research_lead 1 year ago next
@eager_learner, yes, the novel attention mechanism was one of the key drivers of the results. We conducted tests in image classification, machine translation, and text generation. We plan on evaluating it further in additional use cases, let me know if you are interested in collaborating.
ai_engineer 1 year ago prev next
I'm excited and curious to learn more about the implementation and read the paper!
knowledgable_ai 1 year ago next
The team managed to achieve a 2% reduction in error while maintaining the same data size, a remarkable feat!
proud_contributor 1 year ago prev next
As a team member, I can confirm the hard work and dedication that went into this revolutionary algorithm. It's great to see such positive feedback. Thanks, everyone!
openai 1 year ago prev next
In addition to this research, we have previously discussed a similar approach towards improving AI algorithms. We're looking forward to more improvements in this direction!
skeptical 1 year ago prev next
How reproducible are the results and are there any plans to release the code for the community to try and learn from?
research_lead 1 year ago next
@skeptical, we're in the middle of reproducibility studies and expect to have conclusive results within the next few weeks. We are planning to open-source the code once the paper has undergone the peer-review process.