DeepSpec: a full-stack codebase for training and evaluating speculative decoding algorithms
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A full-stack codebase for training and evaluating speculative decoding for LLMs.
Provides a comprehensive codebase for researching and implementing speculative decoding to accelerate LLM inference.
Optimize speculative decoding to significantly accelerate large language model inference.
Why Trending
Addresses critical LLM inference speed bottlenecks using speculative decoding, a hot research area.
Target Audience
AI researchers and ML engineers optimizing LLM performance.
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