web-agent-training-optimization

【数据与研究】Optimize open-source LLM web agent training through systematic analysis of supervised fine-tuning vs. reinforcement learning trade-offs. Achieve 45% lower compute cost by branching into RL at strategic SFT checkpoints.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准