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"Attention is all you need" paper digested (2018)

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Re: "Attention is all you need" paper digested (2018)

#23

Earlier quoted context omitted.

Here’s the thing, if google didn’t publish this paper, it would probably just collect dust somewhere at Google. OpenAi (ClosedAi) saw the potential and demonstrated its impressive and unbelievable capabilities! If Google never shared the transformer model with the world, we would probably not have what we have today.

Very much disagree. Google clearly saw the potential of this as well, and did a ton of work and created a lot of leading models based on this. The big difference between Google and OpenAI is that Google "had a ton more to lose" so to speak and went forward much more cautiously. See all the hullaballoo they had to deal with e.g. with their "Ethical AI" group and the Timnit Gebru fiasco, as well as cases like where tha…

Very sensible comment, agree with it.

I still think that the big cos. (Google, MS, Oracle, ...) will win the AI race in the medium/long term as they have a huge momentum behind them, so they didn't really "miss" anything.

ChatGPT is much better than Google Search, though!

Re: "Attention is all you need" paper digested (2018)

#24
post #5

Google regrets publishing this paper!

It’s probably Nobel worth based on its world impact.

Nobel is a vanity certificate. The author of that paper must have made more money than whatever the Nobel committee would have given to him.

Re: "Attention is all you need" paper digested (2018)

#27
IMO understanding this kind of content depends on where you're starting out, or you're getting too much or too little explanation of the supporting components.

Personally, I used ChatGPT to help me understand this paper from the stance of a senior engineer with some ML experience, and followed up to clarify where I had questions: https://chat.openai.com/share/c17dbcfc-7e3a-44fd-aa88-28c117...

Re: "Attention is all you need" paper digested (2018)

#29
post #20
post #17

Earlier quoted context omitted.

What impact?

It's used in all sorts of advanced models, like LLMs and image generators. They lie at the heart of so called foundation models . https://en.wikipedia.org/wiki/Foundation_models

Right, but what is their "world impact"?

Re: "Attention is all you need" paper digested (2018)

#30
post #24

Earlier quoted context omitted.

It’s probably Nobel worth based on its world impact.

Nobel is a vanity certificate. The author of that paper must have made more money than whatever the Nobel committee would have given to him.

Isn’t Nobel like $1M?
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