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End-to-end learned subspace projections shatter prior compression limits, achieving 70% weight reduction in Llama-2-7B with near-dense performance and drastically shrinking KV cache memory.
Stochastic differential equations could redefine the landscape of generative modeling by unifying diverse approaches under a single variational framework.
