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Explain How
Neural Networks Work
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Current LLM-based AI models, built on stochastic neural networks, can't truly 'know' what they're doing. They lack the deterministic, logic-based systems needed for true reasoning and reliable output. This fundamental flaw hinders trust and progress. Even if they *wanted* to provide this behavior, they wouldn't be able to because the core architecture isn't designed nor does it support the right logical, semantics, knowledge base that is needed to provide such trustworthy and reliable AI. but DI
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Quantum computing is easily one of the fastest growing fields and I honestly don’t see enough content on the actual coding side of it,so thought I’d try it You learn how to convert one of your machine learning neural network layers into a quantum layer This project may seem like a hassle but this is how quantum machine learning works and will be a huge bonus to know a couple of years from now as these quantum computers continue to evolve and improve Let me know what other quantum computing video
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