Federated AI Chat System: Tackling Tacit Knowledge Management

Abstract

Summary The paper “Federated AI Chat System: Tackling Tacit Knowledge Management” discusses managing tacit knowledge in the oil and gas sector using a federated AI system named GPTWell. This industry heavily relies on individual experts’ judgment and experience, making knowledge management challenging. GPTWell utilizes Large Language Models (LLMs) to process unstructured data, bypassing extensive preprocessing. Its federated structure enhances data security, as knowledge is shared via controlled assistants rather than direct data exchange. The system’s effectiveness depends on the proper organization and presentation of metadata, and it employs an RAG technique to synthesize inputs from various assistants, ensuring a relevant response. The paper also highlights the need for a comprehensive tacit knowledge dataset, verification mechanisms for assistants’ responses, and a fair incentive system for information exchange.

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