Introducing ERNIE Evolve, our automated research system for improving AI training and inference. ⚙️
Given a clear research goal, it selects research directions, modifies code and runs experiments. Only improvements that pass independent evaluation and review are kept, and each round’s findings guide the next.
From public benchmarks to ERNIE 5.5 Flash inference tests, here’s what it achieved:
- SOTA on NanoChat AutoResearch and NanoGPT Speedrun
- 33.7% higher deterministic GPU inference throughput
- 14.9% faster single-request decoding on GPUs
This is a practical step toward recursive self-improvement (RSI). Next, we plan to extend this approach to training systems, model capabilities and evaluation.