ENTITY
Hybrid-Attention Language Models
Hybrid-Attention Language Models
PulseAugur coverage of Hybrid-Attention Language Models — every cluster mentioning Hybrid-Attention Language Models across labs, papers, and developer communities, ranked by signal.
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Papers · 30d
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RECENT · PAGE 1/1 · 2 TOTAL
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KV-cache translation enables seamless model handoffs without re-reading context
Researchers have developed a method called KV-cache translation to enable one language model to seamlessly take over a conversation from another without re-reading the entire history. This technique maps the source mode…
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Bole system accelerates hybrid-attention LLM inference with tree speculation
Researchers have developed Bole, a new system designed to accelerate inference for hybrid-attention large language models. These models combine full attention with recurrent linear attention to manage long contexts more…