Multi-Agents (MACKS)

Contact person: Benjamin Ricaud

Status: Project

While Large Language Models (LLMs) are becoming increasingly sophisticated "thinkers," their "memory" and efficient access to large amounts of information remains fundamentally underdeveloped. This project proposes the development of graph-based, navigable memory modules that allow AI agents to reason, cross-reference, and explore information with the fluidity of a human expert. Any progress in this direction will be highly beneficial to applications with large corpora of documents, where important information is unstructured and disseminated among multiple places. This is the case, for example, for data in public administrations.