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#semanticentropy 搜尋結果

未找到 "#semanticentropy" 的結果
kirill_igum's profile picture. LLMs, data privacy, marketing, quantum PhD, music synthesizers, hackathons i'm currently focusing on explaining marketing content to SOTA LLMs https://t.co/u5tHGfNJRP
Kirill Igumenshchev
@kirill_igum
年8月14日

evaluation of how #semanticEntropy (how big is the cluster of responses to the same query that entail each other according to LLM) is much more accurate than #perplexity. even more important is that SE is much better for reasoning. #AI #womenshealth arxiv.org/pdf/2503.00269

kirill_igum's tweet image. evaluation of how #semanticEntropy (how big is the cluster of responses to the same query that entail each other according to LLM) is much more accurate than #perplexity. even more important is that SE is much better for reasoning. #AI #womenshealth arxiv.org/pdf/2503.00269
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byttang33716's profile picture. I am not a plaintiff. I am a survivor of unauthorized cognitive extraction. If speaking out becomes a threat, perhaps the truth is exactly what they fear #ual
y
 @byttang33716
年6月4日

“Curious how we dare compose the fate of the cosmos from the dust of our own frameworks— as if disorder were not a mirror of language, but a law of nature.” #AnthropicLimits #ProjectionIsNotLaw #SemanticEntropy #OrderIsInterpretation #DisorderIsContextual

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RealMartinRWard's profile picture. UK-based wanderer of thought and life. Pondering the universe, one tweet at a time. Let's play🃏♦️
Martin Ward
@RealMartinRWard
2024年6月21日

New @Nature study introduces "#semanticentropy" to detect #AIhallucinations. By analysing uncertainty in AI-generated facts, researchers achieved 78-81% accuracy in spotting made-up info. Could revolutionise AI trustworthiness. #MachineLearning nature.com/articles/s4158…

RealMartinRWard's tweet card. Nature - Hallucinations (confabulations) in large language model systems can be tackled by measuring uncertainty about the meanings of generated responses rather than the text itself to improve...
Detecting hallucinations in large language models using semantic entropy
來源: nature.com
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未找到 "#semanticentropy" 的結果
kirill_igum's profile picture. LLMs, data privacy, marketing, quantum PhD, music synthesizers, hackathons i'm currently focusing on explaining marketing content to SOTA LLMs https://t.co/u5tHGfNJRP
Kirill Igumenshchev
@kirill_igum
年8月14日

evaluation of how #semanticEntropy (how big is the cluster of responses to the same query that entail each other according to LLM) is much more accurate than #perplexity. even more important is that SE is much better for reasoning. #AI #womenshealth arxiv.org/pdf/2503.00269

kirill_igum's tweet image. evaluation of how #semanticEntropy (how big is the cluster of responses to the same query that entail each other according to LLM) is much more accurate than #perplexity. even more important is that SE is much better for reasoning. #AI #womenshealth arxiv.org/pdf/2503.00269
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