Caleb Sima’s Post

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CSO | CEO | Founder

Great article on laying out all the different methods to reduce hallucinations. Key techniques explored: - Prompt engineering: Retrieval augmentation, feedback loops - Model development: Novel architectures, knowledge grounding - Approaches like RAG, CoVe, DRESS, and FLEEK Challenges remain in balancing quality with accuracy. Future directions include hybrid techniques and causality modeling. #AI #MachineLearning #NLP #LLM https://lnkd.in/gjcHfivr

Tackling Hallucination in Large Language Models: A Survey of Cutting-Edge Techniques - Unite.AI

Tackling Hallucination in Large Language Models: A Survey of Cutting-Edge Techniques - Unite.AI

https://www.unite.ai

Richard ZHAO

Chief Operating Officer, International Business at NSFOCUS CTO, CSO, Board Member, CSA, CISSP, PHD

1w

Thanks for sharing

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