This Machine Learning Research from Yale and Google AI Introduce SubGen: An Efficient Key-Value Cache Compression Algorithm via Stream Clustering

Large language models (LLMs) face challenges in generating long-context tokens due to high memory requirements for storing all previous tokens in the attention module. This arises from key-value (KV) caching. LLMs are pivotal in various NLP applications, relying on the transformer architecture with attention mechanisms. Efficient and accurate token generation is crucial. Autoregressive attention decoding […]

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