CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs

The recent introduction of CAS-Spec, or Cascade Adaptive Self-Speculative Decoding, marks a significant advancement in the field of large language models (LLMs). This innovative technique enhances the speed of lossless inference, making it more efficient for real-time applications. By leveraging a hierarchy of draft models, CAS-Spec not only accelerates processing but also offers greater flexibility compared to traditional methods. This development is crucial as it addresses the growing demand for faster and more effective AI solutions, paving the way for improved performance in various applications.