‘Lookahead Decoding’: A Parallel Decoding Algorithm to Accelerate LLM Inference

Although large language models (LLMs) such as GPT-4 and LLaMA are rapidly reimagining modern-day applications, their inference is slow and difficult to optimize because it is based on autoregressive decoding. The delay of an LLM request mostly depends on the answer length of the request or, equivalently, the number of decoding steps because each autoregressive […]

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