Tag: LLM inference
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Optimizing Prompt Compression for Faster LLM Inference
Explore how prompt compression reduces latency and memory use in LLMs while maintaining quality for faster, cost-effective AI inference.
Optimize Memory Pipeline for Faster Disaggregated LLM Inference
Boost large language model inference speed and efficiency by optimizing the memory processing pipeline using heterogeneous systems and hardware acceleratio...
NRR-Phi: Preserve Ambiguity in LLM Text-to-State Mapping
Discover NRR-Phi, a framework that preserves ambiguity in large language model inference with advanced text-to-state mapping for richer interpretations.
PRISM: Efficient O(1) Memory for Long-Context LLM Inference
Discover PRISM's breakthrough O(1) photonic block selection cutting memory use in long-context LLM inference, boosting efficiency and reducing energy.