Title says it all. I am looking for great theories which explain how neural networks learn and why they work as good as they do. Every theory should also make predictions (quantum theory can be used to predict the molecular interactions, etc. . relativ…

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I can't find the paper but it's your of important to me. It had the following content; * theoretical considerations of viewing LLM as way to probabilistic generate tokens * data flow of tokens was also considered, realized with nodes which can …

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