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Tag: #agentic-llm4 results

Meissa: Lightweight Offline Medical AI Agent

Meissa: Lightweight Offline Medical AI Agent

Meissa is a 4B-parameter multi-modal medical LLM that enables offline agentic capabilities by distilling trajectories from frontier models like GPT. It features unified trajectory modeling, three-tier stratified supervision for strategy selection, and prospective-retrospective learning for execution. Trained on 40K trajectories, it matches or exceeds proprietary agents across 13 medical benchmarks with 25x fewer parameters and 22x lower latency; fully open-sourced.

ArXiv AIResearchMar 11#medical-ai#agentic-llm#multi-modal
TADI: Agentic LLM for Drilling Intelligence

TADI: Agentic LLM for Drilling Intelligence

TADI is an agentic AI system integrating 1,759 daily drilling reports, WITSML data, and production records from Equinor Volve Field into DuckDB and ChromaDB stores. It uses 12 domain-specific tools orchestrated by an LLM for multi-step evidence gathering across structured and narrative data. The reproducible implementation parses all DDR XML files error-free and introduces the Evidence Grounding Score for evaluation.

ArXiv AIResearchMay 5#agentic-llm#tool-augmentation#rags