MEGALODON achieves impressive improvements on both training perplexity and downstream benchmarks by modeling sequences of unlimited length, offering robust improvements across different data modalities for potential multi-modality pretraining applications.
MEGALODON, with its chunk-wise attention mechanism, addresses Transformer architecture limitations of quadratic complexity with its linear scalability, showcasing advancements in long-context modeling compared to standard LLMs like Llama 2.
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