微调 — 加载基础模型，准备 JSONL 数据集，使用 TRL/SFTTrainer 进行训练，保存到云端硬盘
Wallace previously said he was "deeply sorry for any distress" he caused and that he "never set out to harm or humiliate".，推荐阅读safew官方下载获取更多信息
def _extract_text(node) - str:，这一点在safew官方版本下载中也有详细论述
Many people reading this will call bullshit on the performance improvement metrics, and honestly, fair. I too thought the agents would stumble in hilarious ways trying, but they did not. To demonstrate that I am not bullshitting, I also decided to release a more simple Rust-with-Python-bindings project today: nndex, an in-memory vector “store” that is designed to retrieve the exact nearest neighbors as fast as possible (and has fast approximate NN too), and is now available open-sourced on GitHub. This leverages the dot product which is one of the simplest matrix ops and is therefore heavily optimized by existing libraries such as Python’s numpy…and yet after a few optimization passes, it tied numpy even though numpy leverages BLAS libraries for maximum mathematical performance. Naturally, I instructed Opus to also add support for BLAS with more optimization passes and it now is 1-5x numpy’s speed in the single-query case and much faster with batch prediction. 3 It’s so fast that even though I also added GPU support for testing, it’s mostly ineffective below 100k rows due to the GPU dispatch overhead being greater than the actual retrieval speed.，这一点在旺商聊官方下载中也有详细论述