A recent article from the German business publication WirtschaftsWoche entitled “Wie ein Österreicher der KI das Halluzinieren austreiben will/How an Austrian company wants to stop AI from hallucinating”, has profiled how Graphwise is combatting the problem of “AI hallucinations” through the use of knowledge graphs.
What are AI Hallucinations?
The article defines hallucinations as errors of artificial intelligence… [where the AI] delivers a convincingly formulated result, but one that has no real basis in the training data or is completely wrong.
What’s the Graphwise Solution?
Graphwise tackles this issue by structuring data into knowledge graphs, which function as a “navigation system for the information superhighway.” These graphs provide context for AI language models (LLMs) like ChatGPT, ensuring the AI’s responses are accurate and grounded in reliable data.
What are some benefits of Knowledge Graphs?
- Accuracy: Knowledge graphs significantly reduce AI hallucinations by anchoring the AI’s responses to a structured, verified knowledge base.
- Transparency: By using knowledge graphs, it becomes clear where the AI’s information comes from, increasing trust and explainability.
- Data Utilization: Companies can leverage their nal data more effectively, making AI applications more tailored and powerful.
What are experts saying about the significance of Knowledge Graphs?
Discover how industry giants like NASA, Microsoft, Siemens, and Takeda Pharmaceuticals are revolutionizing their operations with Graphwise’s cutting-edge technology. Hear firsthand from our clients about the transformative power of knowledge graph technology:
RAG [Retrieval Augmented Generation] can be a significant factor influencing AI to access private data from company databases. Using your data is a crucial differentiating factor for companies.
Kathrin Schwan, Accenture
Takeda currently enjoys a technological advantage because we prepared our company-wide data in knowledge graphs even before the advent of LLMs. That’s why we can use LLMs more quickly, even though we work in such a sensitive area as pharmaceuticals.
Michael Schwärzler, Takeda Pharmaceuticals
Learn how knowledge graphs serve as a pivotal technology in curbing AI hallucinations, especially for enterprises handling intricate or sensitive data. By leveraging knowledge graphs, you can seamlessly and significantly boost the precision, clarity, and efficiency of your AI solutions.
Originally published at https://graphwise.ai.
