Implementation
Cross-source consensus on Implementation from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Comparisons
Where it comes from
Highlighted claims
- FlashEvolve uses Python lightweight threads and in-process queues. — FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration
- Pool updates are protected by a lock. — FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration
- Open-source baselines and FlashEvolve used the same DSPy client backed by local vLLM for fair comparison. — FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration
- The main GEPA experiments used Qwen3-8B served by vLLM on one H100 GPU and an AMD EPYC CPU. — FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration
- API experiments used the same interface by changing only endpoint and model name. — FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration