When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models
When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models explores Distill large language models into smaller, faster, and more memory-efficient hybrid architectures using a generation-focused pipeline and novel attention mechanism, achieving significant performance gains with reduced inference costs.. Commercial viability score: 7/10 in LLM Optimization.
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