新闻
Test-Time Compute Scales Better with Parallel Agent Teams
arXiv cs.AI · 发布于 · 阅读约1分钟
30秒读懂
- 发生了什么
- Researchers show that running many small parallel agent teams outperforms both independent agents and single large teams for test-time compute scaling.
- 为何重要
- Matters for engineers optimizing inference costs on reasoning tasks like code generation, formal proofs, and complex problem-solving.
- 注意
- Results tested on 27B model with 100-agent budget; scaling behavior and cost-effectiveness may differ significantly with larger models or different budgets.
- agent
- kernel
- inference
- long-horizon
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