Megalodon: A Deep Learning Architecture for Efficient Sequence Modeling with Unlimited Context Length

Developing and enhancing models capable of efficiently managing extensive sequential data is paramount in modern computational fields. This necessity is particularly critical in natural language processing, where models must process long text streams seamlessly, retaining context without compromising processing speed or accuracy. One of the key challenges within this scope is the traditional reliance on […]

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