Adapting and aligning large language models with parameter-efficient training and reinforcement-based preference optimization.

Quantizing and deploying models for fast, low-cost inference in production at scale.

Applying the same training and serving techniques across model types — text, vision and speech.

Building tool-using agents and multi-agent systems on top of open, interoperable protocols.