RI for Generative AI
Our vision for RlGAl is to power the last mile of GenAI by building intelligent systems through collaborative GenAI and systems that are low-resource, privacy-preserving, and continuously evolving.
We advance GenAI through four core research areas:
- Unconstrained Model Fusion for Enhanced LLM Reasoning
- Ultra-Efficient Low-Bit LLMs: Train & Development
- LLM with Ultra-Low Resource and Strong Reasoning Capability

Powering the Last Mile of GenAI
RI for Federated Learning

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