Tag: AI efficiency
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Experience Compression Spectrum: Boosting LLM Agent Efficiency
Discover the Experience Compression Spectrum, unifying memory, skills, and rules to optimize LLM agents' efficiency and reduce computational overhead.
Two-Stage Structured Pruning Boosts LLM Efficiency
Discover how two-stage regularization-based structured pruning enhances large language models by retaining knowledge and improving performance.
TRIM: Efficient Hybrid Inference for Multi-Step Reasoning
Discover TRIM, a hybrid inference method that boosts efficiency by targeting critical steps in multi-step reasoning tasks with advanced model routing.
Efficient Pruning of Long Chain-of-Thought in LRMs
Optimize Large Reasoning Models by pruning long chain-of-thought outputs to reduce computation without losing reasoning quality.
Tri-Spirit AI Architecture: Efficient Cognitive Layers for Agents
Discover the Tri-Spirit Architecture, a three-layer AI framework enhancing autonomous agents with reduced latency, lower energy use, and improved task effi...