Tag: AI model optimization
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SimDiff: Advanced Depth Pruning for Efficient LLMs
Discover SimDiff, a novel depth pruning method using similarity and difference metrics to boost large language model efficiency and speed.
GRASPrune: Efficient Budgeted Pruning for Large Language Models
Discover GRASPrune, a structured pruning method that reduces large language model size by 50% while maintaining performance and lowering operational costs.
Optimizing Vision Transformers with Dispatch-Aware Ragged Attention
Discover how dispatch-aware ragged attention improves efficiency in pruned Vision Transformers by reducing latency and boosting speed without losing accura...
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.
Saber: Fast, High-Quality Sampling for Diffusion Language Models
Discover Saber, a training-free sampling method boosting speed and accuracy in diffusion language models for efficient code generation.