2min chapter

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Is ChatGPT the iBeer of LLMs?

Equity

CHAPTER

The Power of Self Attention in Neural Networks

There was a method of building neural networks that used recurrence, which allowed some outputs to be used to impact inputs for the same nodes. Then in 2017, Google put out a paper on transformers, which showed that you could build a powerful neural network based on only a form of attention called self attention. And I think if I'm not being totally off base, the transformers paper was essentially the kickoff point for what brought us to today's modern LLMs.

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