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Researchers Achieve 3x LLM Inference Speedup via Weight Integration

Researchers from UMD, TogetherAI, and Columbia have developed a method to bake 3x inference speedups directly into LLM weights without speculative decoding. Combined with Guide Labs' new interpretable model Steerling-8B, the industry is moving toward faster and more transparent AI systems.

Jason·Feb 24, 2026