What is BERT and how does it work? | A Quick Review
BERT is a versatile language model that can be easily fine-tuned to many language tasks. But how has it learned the language so well? And what is a language model? And what does it mean to fine-tune a model?
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We learn all that in this video.
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Source code of BERT - github.com/google-research/bert
Пікірлер: 29
Another great session! I think that getting down to the code level and seeing such models closer up is a great next step.
My new favorite goto channel for short but insightful high-level explanations of models in ML 😀
@maestbobo
Жыл бұрын
Simp.
@exmachina767
Жыл бұрын
@@maestbobo says the guy who's a simp for men in boxers haha
This is massive tutorial, one or the best high level overview of Bert. Really nice
Thanks a lot. It was perfect and so useful with simplicity. Thanks again!
this is the best explain video so far. Thank you so much
The best explanation! Thanks many times
@AssemblyAI
Жыл бұрын
You are welcome!
Thank you. Very good video
Best Explanation !
Amazing explanation!
Nice Explanation... Thanks
@AssemblyAI
2 жыл бұрын
You're very welcome! - Mısra
nice explanation, much better than googles video on BERT
A very good channel and very good videos.
Well done
well explanation mam in short video.
Nice video!!!
thanks
@AssemblyAI
Жыл бұрын
You're welcome!
perfect
Agree will all comments aout the how clear BERT explained here. Still I struggle with understanding the transformer itself. Your video and many others I saw on transformer don't make it clear for me.
3:50 4:20 do you mean encoding or embedding? 🤔
Nice madam.when we put out layers at the end of BERT model,what is the purpose of that layers?does it mean to determine pos ? Or something else plz clear my mind abt that.🙏 Thanks
@AssemblyAI
2 жыл бұрын
If you add layers after the BERT model, you would be doing fine tuning. This is done to make the BERT model apply to a specific case. -Mısra
@noorhassanwazir8133
2 жыл бұрын
@@AssemblyAI thanks alot Misra ❤️
Articulately explained, thank you.
What could be the architecture to understand BERT?