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Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State Injection
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers introduced PRECOG, a retrieval method for edge language models using State-Space Models that reduces prefill latency from 27 seconds to under 6 milliseconds by pre-encoding document corpora as fixed hidden states.
- 为何重要
- Engineers building retrieval systems for resource-constrained devices or edge hardware need interactive response times and want to avoid the memory overhead of transformer KV-caches.
- 注意
- The approach is demonstrated on a single 1.2B-parameter SSM model; generalization to other architectures, larger models, and real-world retrieval quality at scale remain unvalidated.
收听本摘要
- language model
- rag
- retrieval
- token
- edge
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