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ππͺπΎπ‘π‘πΎ
@gm8xx8
Reaching 1B Context Length With RAG Zyphra: https://www.zyphra.com/post/reaching-1b-context-length-with-rag retrieval system enables LLMs to process up to 1 billion tokens efficiently on a standard CPU using a sparse graph-based approach. Outperforms RAG methods with dense embeddings or long-context transformers. Iβm impressed with the work Zyphra has been doing in the SSM space (most recently Zamba2-7B) so Iβm eager to see more.
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Cubacken
@cubacken
gm
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