find best plugins, themes, codes and more
This is a GREAT explanation! please lower the background music next time it could really help. thanks again! awesome video
It must of been so hard to not make a transformers cartoon joke, keep it up.
Positional Encoding, Attention and Self Attention. That's it! Really well summarized.
Great explanation of the key concept of position encoding and self attention. Amazing you get the gist covered in less than 10 minutes.
this is brilliant
Where optimus prime
Was expecting a cool robot truck. Was very dissapointed
Converts high voltage to lower voltage and they are everywhere 🤔😁
be interested to see a video on transformers on time series data.
From 5:28, shouldn't it be the following:"when the model outputs the word “économique,” it’s attending heavily to both the input words “European” and “Economic.” "?
For européenne, I see that it is attending only to European. Please let me know if I am missing something here. Thanks for the great video.
Is PaLM also based on Transformers?
very well explained, but the backgroud music is anoying.
Amazing video! Nice explanation and examples 😄👍I would like to see more videos like this and practices ones
What about REFORMERS ?
Does anybody know any lecture on YouTube to go deep and explain in detail about the transformer? Like three hours or more?
Great video. Thank you!
Feels like I am playing at 1.5x , had to cross check just to find out I was wrong 😂
Such a simple yet revolutionary 💡idea
I love how to simplify something so complex, thank you so much Dale, the explanation was perfect <3
Simplest Explanation ever
Great video. Thx.
I’m very confused. You clearly state here that this system is not just a chatbot, yet now that one of your employees have claimed the system is sentient you have reverted to just calling it a “chatbot”. I’m very concerned 😦 Please don’t delete my comment. Just help us understand what you’ve created. Your company does many wonderful things and the fact you’ve even been able to build this system is remarkable
Wow, this is so well explained.
Pretty nice, is there any automatic way of cleaning up data with errors such as a mislabel, or a grammar error?
I'll jump on where others are doing the same – would love advice for someone who understands half the concepts that are alluded to as complex naturally and the innovation feels obvious I'm unsure how to break into the space without some guidance or connection between having exactly that great natural grasp but wildly anxious that language and logic are strengths and math is a mental turn off. For someone needing that type of translation/guide where my approach is language usage & finer cues what is the key terms to get to that understanding? Hate being fascinated and all the tools to play in this space and being unable to start because how I approach topics so welcome any advice.
This is a really awesome video! Thank you so much for simplyifying the concepts.
Thank you for this high-level explanation. I now understand transformers more clearly
The invention of transformers seems to have jump-started a revolutionary acceleration in machine learning! Between the models you mentioned here, plus the way transformers are combined with other network architectures in DALL-E 2, OpenAI Jukebox, PaLM, Chinchilla/Flamingo, Gato — it seems like adding a transformer to any model produces bleeding-edge, state-of-the-art-or-better performance on basically any tasks.
Barring any major architecture innovations in the future, I wonder if transformers end up being the key we need to reach human levels of broad-range performance after all 🤔
I loved it and very simple ,clear explanation.
So easy and clear to understand. Thanks
I watched a few Transformer and BERT videos and your explanation was the best by FAR!
Just verbose fluff, very little substance.
I bet this was written using transformers
T5 is the best model I have ever fine-tuned/used. I don't like BERT too much. I never had much success with BERT at all
Nice explanation. But at 4:49, did she say that "in the French translation, European comes before economic."?
Simply loved it!
Thanks to Google Cloud Tech. Need more video about Transformer.
Where is optimus prime?
The visuals are very helpful. Thanks.
Very well explained.. This really is a high level view of what Transformers are, but it's probably enough to just get your toes wet in the field!
Your email address will not be published. Required fields are marked *
Save my name, email, and website in this browser for the next time I comment.