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Intervention

Integrate a Large Language Model AI with a Knowledge Graph

Connect a Large Language Model AI service with a knowledge graph so that the information source is scoped and accurate. This provides a reliable information repository for using the LLM in that subject area.
Solves these Problems
LLM / GPT AI hallucinates incorrect information
Large Language Models (LLMs) can create incorrect answers to questions that give the impression of being reliable intelligence.
LLM / GPT AI is not trained on complete, accurate information
An AI is only as good as its source of information and its training. If this is not in place for the subject matter in question, it is a serious problem.
Knowledge Graph intelligence not accessible to business users
Business intelligence is encoded into the knowledge graph, but business users are unable to query, extract, or explore this intelligence.
Improves these Problems
Unable to generate realtime actionable intelligence
In many organizations globally, subject matter experts and users of all kinds are not able to view real-time actionable intelligence from their core business data. Instead, they spend time on arduous manual processes to generate static reports.
Involves these Technologies
Machine Learning (ML)