FlexiDepth introduces adaptive layer-skipping that accelerates LLM inference without sacrificing quality by using only the necessary computational resources for each token.

• Recognizes that different tokens require different computational depths
• Implements a plug-in router and adapter approach requiring no model retraining
• Achieves significant speed improvements while maintaining output quality
• Works as an easy-to-implement enhancement for existing pre-trained LLMs

This engineering advancement matters because it enables more efficient LLM deployment in resource-constrained environments and reduces operational costs for AI systems at scale.

Adaptive Layer-skipping in Pre-trained LLMs