新闻
PyroDash: Cost-Efficient Token-Level Small-Large Language Model Collaborative Inference
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- PyroDash framework trains small language models to decide token-by-token when to hand off queries to large language models for cost-efficient collaborative inference.
- 为何重要
- Relevant for engineers deploying LLM services who need to balance reasoning quality against inference costs in production systems.
- 注意
- Results demonstrated only on mathematical reasoning benchmarks; generalization to other domains and real-world deployment constraints remain unvalidated.
- llm
- language model
- reasoning
- inference
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