Stanford Researchers Propose LoLCATS: A Cutting Edge AI Method for Efficient LLM Linearization
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The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is…