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Zyphra Hierarchical Attention: How to Optimize LLMs for Extended Context Without Retraining
Zyphra Hierarchical Attention (ZHA) enables already trained LLMs to process up to 256K tokens, maintaining dense attention performance but with much lower computational and memory costs. The solution can be applied without retraining, facilitating AI scalability in business and research. An innovation with direct impact on costs and speed of advanced AI application deployment.
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