UniSpec plug-and-play training-free speculative decoding framework accelerates large language model inference

https://www.eurekalert.org/news-releases/1138769

"reduces computational overhead/ latency in large language models without retraining/ accuracy loss... optimizes token generation: calibrates draft sizes to specific hardware, evaluates n-gram confidence scores, expands draft trees dynamically... up to 2.6X faster inference compared to training-free... integrates seamlessly into existing LLMs as a lossless solution, significantly reducing deployment costs and latency for diverse AI applications ranging from real-time translation to code generation"