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At a time when companies are increasingly relying on the potential of generative AI for knowledge representation, many are faced with the challenge of achieving reliable results. The use of language models requires further measures to ensure consistent, accurate and, above all, reliable answers.
What steps are necessary to use language models effectively? We show how the use of metadata and knowledge graphs helps to validate generative AI statements based on company knowledge.
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