Tag: auditory large language models
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Performance and Energy Trade-offs in Multi-Request LLM Workflows
Explore how multi-request workflows impact large language models' performance and energy use, with strategies to optimize latency and efficiency.
ECHO: Fast Speculative Decoding for High-Concurrency LLMs
ECHO boosts large language model inference with elastic speculative decoding and sparse gating, achieving up to 5.35x speedup in high-concurrency scenarios...
Generative UI: How LLMs Create Dynamic Interfaces
Discover how modern LLMs generate high-quality custom UIs, enhancing user experience beyond static markdown outputs with robust generative capabilities.
SPEED-Bench: Benchmarking Speculative Decoding for LLMs
Discover SPEED-Bench, a unified benchmark for evaluating speculative decoding in large language models with diverse, real-world workloads and production in...
SRBench: Benchmarking Sequential Recommendations with LLMs
Discover SRBench, a new framework for comprehensive benchmarking of sequential recommendation models using large language models for fair and accurate eval...