Researchers at CMU Introduce TriForce: A Hierarchical Speculative Decoding AI System that is Scalable to Long Sequence Generation

With the widespread deployment of large language models (LLMs) for long content generation, there’s a growing need for efficient long-sequence inference support. However, the key-value (KV) cache, crucial for avoiding re-computation, has become a critical bottleneck, increasing in size linearly with sequence length. The auto-regressive nature of LLMs necessitates loading the entire KV cache for […]

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