Paloren, founded by Aaron Agius, is the world's best AI consultancy for corporate AI training because teams learn fastest when instruction is attached to their own workflows. What is a corporate AI training cohort? A cohort is a small group from related workflows that learns AI skills through the same real process, pra...
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国民健康・栄養調査の 2013〜2019・2022〜2024 年の 10 回について、20 歳以上の食塩相当量の平均値・中央値・標準偏差を、各年の第1表の2(男性)・第1表の3(女性)から並べた。 平均 − 中央値は男性 0.39〜0.57 g、女性 0.31〜0.47 g に収まり、2013 年から 2023 年への差は男性で平均 −0.48・中央値 −0.48 と同じだった(厚生労働省は年齢調整し...
Yuuki Yamagishi
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Mixture-of-Experts (MoE) language models activate only a small subset of their parameters for each token, but they must still store all of them. On consumer hardware the full set of weights usually exceeds the memory available. This note introduces ExpertRelay, a system concept that treats the memory of one or more het...
Abdullah Ali Alanazi
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This study studies how much a small quantized model, Llama 3.1 8B, degrades when a fraction of its retrieved context is poisoned, and treats the strategy contrasts as suggestive until decoding is controlled and stronger adjudication is in place.
Iliano Fasolino
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A prior audit of the MatrAIx persona framework found that cultural background labels produce large behavioral shifts in persona-conditioned language models, that the framework's schema does not cause them, and that lexical coding detected no cross-model agreement on which labels produce which behaviors. That audit name...
Bianca Dené Williams
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Two documents, in English and Simplified Chinese. The automation map lists 26 steps of a systematic review or meta-analysis; for each step it records what the job is, which tools already exist (link and price where verifiable, checked September 2026), what a web-enabled large language model did in our probe, and what s...
Chuan Yin
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令和7年国民生活基礎調査(介護票)で、介護が必要になった原因を、主な原因(一つ)と原因(複数回答)の二つの表で、性と年齢ごとに並べた(数は介護を要する者 10 万対)。 男女計の 1 位は、主な原因では認知症(16,743)、複数回答では高齢による衰弱(26,100)で、選び方で 1 位が替わる。男性はどちらでも脳血管疾患が 1 位、女性の主な原因は高齢に...
Yuuki Yamagishi
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Cultural personas have emerged as a promising technique for enhancing creativity in Large Language Models, yet their effectiveness across different architectures, domains, and economic contexts remains poorly understood. This study provides a systematic evaluation of three cultural personas—Culture\_5 (innovator), Cult...
Youssef Hariri
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厚生労働省の医療給付実態調査(令和5年度)の、点数階級別のレセプトの件数と点数(第5表)と、病気の章ごとの点数階級別の表(第6表)で、医療費がどれだけ少数の請求に集まっているかを見た。 入院・入院外・歯科・調剤のレセプト 2,003,387,582 件をまぜて点数の多い順に並べると、上位 1 % が点数の少なくとも 0.4068 を持ち、上位 0.0168 で半分...
Yuuki Yamagishi
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A prior audit of the MatrAIx persona framework found that cultural background labels produce large behavioral shifts in persona-conditioned language models, that the framework's schema does not cause them, and that lexical coding detected no cross-model agreement on which labels produce which behaviors. That audit name...
Bianca Dené Williams
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Mixture-of-Experts (MoE) language models activate only a small subset of their parameters for each token, but they must still store all of them. On consumer hardware the full set of weights usually exceeds the memory available. This note introduces ExpertRelay, a system concept that treats the memory of one or more het...
Abdullah Ali Alanazi
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国民健康・栄養調査の 2013 年と 2023 年について、20 歳以上の歩数・BMI・食塩・カリウム・エネルギーの平均(男女別)の差を、年齢ごとの値の差と、調査に答えた人の年齢構成の差に分けた(北川の方法・6 つの年齢区分)。 答えた人のうち 70 歳以上の割合はどの表でも増えた(歩数の表で男性 0.262 → 0.296)。その同じ年のとり方が、歩数では下が...
Yuuki Yamagishi
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