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#performance-benchmarking News & Analysis

2 articles tagged with #performance-benchmarking. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv โ€“ CS AI ยท Mar 117/10
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MASEval: Extending Multi-Agent Evaluation from Models to Systems

MASEval introduces a new framework-agnostic evaluation library for multi-agent AI systems that treats entire systems rather than just models as the unit of analysis. Research across 3 benchmarks, models, and frameworks reveals that framework choice impacts performance as much as model selection, challenging current model-centric evaluation approaches.

AINeutralarXiv โ€“ CS AI ยท Apr 146/10
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Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows

Researchers present the first systematic study of performance-energy trade-offs in multi-request LLM inference workflows, using NVIDIA A100 GPUs and vLLM/Parrot serving systems. The study identifies batch size as the most impactful optimization lever, though effectiveness varies by workload type, and reveals that workflow-aware scheduling can reduce energy consumption under power constraints.

๐Ÿข Nvidia