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Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Automated Reasoning in AI

This chapter explores the evolution and significance of automated reasoning in artificial intelligence, particularly its role in mitigating hallucinations in large language models. The discussion highlights the transition from symbolic to neurosymbolic AI, with applications in security and cryptography within cloud environments like AWS. Key examples illustrate how automated reasoning enhances understanding of resource policies and network configurations, emphasizing the need for precise policy languages.

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