BART: Denoising Sequence-to-Sequence Pre-training for NLG & Translation (Explained)

[@thepresistence5935]

Understood very clearly! after this reading a research paper is very easy for me Thanks!

[@deeplearningexplainer2139]

Glad to hear that!

[@lilyap1206]

dang this is a great video very clearly explained thanks!

[@deeplearningexplainer2139]

thanks for liking it!

[@gigabytechanz9646]

Great Introduction! Really like it!

[@deeplearningexplainer2139]

Thank you! Cheers!

[@bnglr]

very well explained

[@deeplearningexplainer2139]

Glad you think so!

[@gonzales2011]

Great video! Thanks!

[@deeplearningexplainer2139]

Glad you liked it!

[@shahidvalishaik6130]

How to calculate rouge score, i am getting recall, precision and f values while using rouge-package. Is there any formula to calculate rouge score so that i can get values as you get

[@deeplearningexplainer2139]

You're almost there Shahid. Most papers don't specify which ROUGE score they use (which they should) and most of those are the recall of ROUGE.

[@aphilzitrone]

Can this model read pdf data and learn from that when i till it to? Or is there anything that can do that in the web ui rather than having to train it through lora? I am very new to the matter but i would have a good use for some text generation that can sumarize my books

[@deeplearningexplainer2139]

this model can’t do it as it’s a first generation model which means it’s old. But GPT-4o can easily do that now

[@123amsterdan456]

great video! what is the software for the floating cam?

[@deeplearningexplainer2139]

thank you Filipe! It's Loom!

[@100timezcooler]

kudos

[@deeplearningexplainer2139]

thanks for watching!

[@chdhc9922]

I never understand how bert , bart works...these language models work....and its so scary

[@deeplearningexplainer2139]

all you need is to spend more time watching this video and reading the papers :)