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"Highlighted Chain of Thought" prompting boosts LLM accuracy and verifiability
"Highlighted Chain of Thought" prompting boosts LLM accuracy and verifiability

A novel prompting method called "Highlighted Chain of Thought" (HoT) helps large language models better explain their reasoning and makes their answers easier for humans to verify.
The article "Highlighted Chain of Thought" prompting boosts LLM accuracy and verifiability appeared first on THE DECODER.

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Do new AI reasoning models require new approaches to prompting?
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Chain-of-experts (CoE): A lower-cost LLM framework that increases efficiency and accuracy
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LLM-generated questions differ from human questions, study finds
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