EAGLE-2: An Efficient and Lossless Speculative Sampling Method Achieving Speedup Ratios 3.05x – 4.26x which is 20% – 40% Faster than EAGLE-1

Large language models (LLMs) have significantly advanced the field of natural language processing (NLP). These models, renowned for their ability to generate and understand human language, are applied in various domains such as chatbots, translation services, and content creation. Continuous development in this field aims to enhance the efficiency and effectiveness of these models, making […]

The post EAGLE-2: An Efficient and Lossless Speculative Sampling Method Achieving Speedup Ratios 3.05x – 4.26x which is 20% – 40% Faster than EAGLE-1 …

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