OAT

OAT stands for Online Alignment Training. It packages common LLM post-training workflows such as reinforcement learning, preference optimization, online sampling, and evaluation into a research-friendly framework.

It is not an end-user product, but a tool for model research and training teams.

Model capability increasingly depends on post-training. Pretraining provides base knowledge; SFT, RLHF, DPO, online reinforcement learning, and related workflows determine whether a model is useful, stable, and aligned.

OAT matters because it turns complex alignment experiments into reusable engineering infrastructure.

OAT shows that Sea AI Lab is not only building regional language models, but also model-training tooling. That matters for a Singapore homegrown tech company participating in foundation-model competition.

Future tracking should watch whether it is used in Sailor or other SAIL model-training pipelines.