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Prior claims of SVD-based compression effectiveness crumble under standardized evaluation, revealing that performance varies dramatically across models and setups.
AgentSpec slashes response times for LLM agents by addressing high rejection rates and optimizing token budgets, outperforming existing methods.
TextRefine achieves superior text editing in product posters by ensuring high fidelity and optimal placement, overcoming common pitfalls of existing models.
Subtracting the mean from activations unlocks stable FP4 training for LLMs, closing the performance gap with BF16 without complex spectral methods.
