✨TimeBill: Time-Budgeted Inference for Large Language Models
📝 Summary:
TimeBill is a framework for LLMs in time-critical systems. It predicts execution time and adaptively adjusts KV cache eviction to balance inference efficiency and response performance within given time budgets, improving task completion rates.
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21859
• PDF: https://arxiv.org/pdf/2512.21859
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For more data science resources:
✓ https://t.me/DataScienceT
#LLM #AI #RealTimeAI #InferenceOptimization #DeepLearning
📝 Summary:
TimeBill is a framework for LLMs in time-critical systems. It predicts execution time and adaptively adjusts KV cache eviction to balance inference efficiency and response performance within given time budgets, improving task completion rates.
🔹 Publication Date: Published on Dec 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.21859
• PDF: https://arxiv.org/pdf/2512.21859
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#LLM #AI #RealTimeAI #InferenceOptimization #DeepLearning
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