This project attempts to formalize the process of using LLMs as template generators in a reliable, reproducible, and reviewable way. GraphMD proves you don't need AGI for effective AI assistance. You ...
Abstract: We present and evaluate TTG, a novel programming model and its C++ implementation that by marrying the ideas of control and data flowgraph programming supports compact specification and ...
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
codebase-indexer is the context module of ZGSM (ZhuGe Smart Mind) AI Programming Assistant which running on client. It provides powerful codebase indexing capabilities to support code call graph ...