新闻
Ballad: Bandit-Based LLM Routing for Automated Heuristic Discovery
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Ballad, a bandit algorithm, routes queries across multiple LLMs to solve combinatorial optimization problems, matching best individual models while cutting API costs by up to 65.6%.
- 为何重要
- Teams building automated heuristic discovery systems or using multiple LLMs for optimization should consider this when balancing solution quality against inference expenses.
- 注意
- The approach assumes access to a pool of diverse LLMs and requires tracking genealogy of solutions; effectiveness on other problem domains beyond the five tested remains unclear.
- llm
- language model
- rag
- open-weight
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