Firstly, Guardpoint, our medical reasoning model; trained on medical knowledge, management, diagnosis, and tasks: - Structured medical reasoning responses are efficient and informative, cutting token costs for faster inference! - Wide-ranging knowledge base: trained on a wide variety of medical disciplines, patient types, and query structures! - High quality medical responses emphasize performance, brevity, specificity, statistical rationality, and openness.
Secondly, we've also brought DAG Reasoning to Qwen 3.5 27B: - Create structured, analytical Directed Acyclic Graphs to provide insight into your queries and situations! - Multi-step analysis identifies causal relationships, produces confidence measurements, and forms a single structured graph object. - DAG Reasoning Format provides clear, readable JSON containing structured, useful information; easy to use for creating visualizations, doing analysis, or further conversation with your assistant. - Trained in a variety of subjects for flexible analysis: programming, science, business, economics, finance, law, logistics, management, and more!