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A local agentic assistant for drug information, evaluated on 1,000 prompts.
A retrieval-augmented assistant running a fine-tuned Llama entirely on local hardware, with an agentic workflow over several tools. Evaluated on more than 1,000 prompts and measured at 92 percent accuracy on drug-related queries.
All projects
- Meta-ROS
Systems and robotics
- MicroRWKV
Model architecture
- Hybrid ASR for constrained robots
Speech and research