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Retrieved on: 2025-04-11 17:39:55
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Summary
The article discusses using 'Grounded AI' to mitigate inaccuracies in outputs from AI models in Natural Language Processing, particularly in large language models, by employing methods like multi-agent systems and self-feedback. The implementation improves accuracy, addressing issues like hallucination and error in scenario generation, illustrating how concepts like prompt engineering and deep learning intersect with simulated environments in AI systems.
Article found on: www.nature.com
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