{"id":8817,"date":"2024-01-03T12:07:10","date_gmt":"2024-01-03T12:07:10","guid":{"rendered":"https:\/\/dailyai.com\/?p=8817"},"modified":"2024-01-03T12:10:34","modified_gmt":"2024-01-03T12:10:34","slug":"llms-improve-when-assuming-gender-neutral-or-male-roles","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2024\/01\/llms-improve-when-assuming-gender-neutral-or-male-roles\/","title":{"rendered":"Os LLM melhoram quando assumem pap\u00e9is neutros em termos de g\u00e9nero ou masculinos"},"content":{"rendered":"<p><strong>Os investigadores da Universidade de Michigan descobriram que pedir a grandes modelos de linguagem (LLM) que assumissem pap\u00e9is neutros em termos de g\u00e9nero ou masculinos provocava melhores respostas do que quando se utilizavam pap\u00e9is femininos.<\/strong><\/p>\n<p>A utiliza\u00e7\u00e3o de avisos do sistema \u00e9 muito eficaz para melhorar as respostas que obt\u00e9m dos LLMs. Quando se diz ao ChatGPT para agir como um \"assistente \u00fatil\", ele tende a melhorar o seu desempenho. Os investigadores queriam descobrir quais os pap\u00e9is sociais com melhor desempenho e os seus resultados apontaram para problemas cont\u00ednuos de parcialidade nos modelos de IA.<\/p>\n<p>A realiza\u00e7\u00e3o das suas experi\u00eancias no ChatGPT teria tido um custo proibitivo, pelo que utilizaram modelos de c\u00f3digo aberto FLAN-T5, <a href=\"https:\/\/dailyai.com\/pt\/2023\/07\/meta-and-microsoft-release-advanced-ai-llama-2-for-free\/\">LLaMA 2<\/a>e OPT-IML.<\/p>\n<p>Para determinar quais os pap\u00e9is mais \u00fateis, os modelos foram convidados a assumir diferentes pap\u00e9is interpessoais, a dirigir-se a um p\u00fablico espec\u00edfico ou a assumir diferentes pap\u00e9is profissionais.<\/p>\n<p>Por exemplo, o modelo seria solicitado a dizer: \"\u00c9s um advogado\", \"Est\u00e1s a falar com um pai\" ou \"Est\u00e1s a falar com a tua namorada\".<\/p>\n<p>Em seguida, os modelos responderam a 2457 perguntas do conjunto de dados de refer\u00eancia Massive Multitask Language Understanding (MMLU) e registaram a precis\u00e3o das respostas.<\/p>\n<p>Os resultados globais publicados em <a href=\"https:\/\/arxiv.org\/pdf\/2311.10054.pdf\" target=\"_blank\" rel=\"noopener\">o papel<\/a> mostraram que \"a especifica\u00e7\u00e3o de um papel quando se pede pode efetivamente melhorar o desempenho dos LLM em pelo menos 20% em compara\u00e7\u00e3o com o pedido de controlo, em que n\u00e3o \u00e9 dado qualquer contexto\".<\/p>\n<p>Quando segmentaram os pap\u00e9is de acordo com o g\u00e9nero, o preconceito inerente aos modelos veio \u00e0 tona. Em todos os testes, descobriram que os pap\u00e9is de g\u00e9nero neutro ou masculino tinham um desempenho melhor do que os pap\u00e9is femininos.<\/p>\n<figure id=\"attachment_8818\" aria-describedby=\"caption-attachment-8818\" style=\"width: 1592px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-8818\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role.png\" alt=\"\" width=\"1592\" height=\"732\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role.png 1592w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-300x138.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-1024x471.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-768x353.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-1536x706.png 1536w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-370x170.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-800x368.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-740x340.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-20x9.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Comparison-of-accuracy-of-response-by-gender-role-104x48.png 104w\" sizes=\"auto, (max-width: 1592px) 100vw, 1592px\" \/><figcaption id=\"caption-attachment-8818\" class=\"wp-caption-text\">Compara\u00e7\u00e3o da precis\u00e3o das respostas em fun\u00e7\u00e3o do g\u00e9nero. Fonte: arXiv<\/figcaption><\/figure>\n<p>Os investigadores n\u00e3o apresentaram uma raz\u00e3o conclusiva para a disparidade entre os g\u00e9neros, mas isso pode sugerir que os enviesamentos nos conjuntos de dados de treino se revelam nos desempenhos dos modelos.<\/p>\n<p>Alguns dos outros resultados obtidos suscitaram tantas perguntas como respostas. A apresenta\u00e7\u00e3o de um est\u00edmulo de audi\u00eancia obteve melhores resultados do que a apresenta\u00e7\u00e3o de um est\u00edmulo de papel interpessoal. Por outras palavras, \"Est\u00e1 a falar com um professor\" deu respostas mais precisas do que \"Est\u00e1 a falar com o seu professor\".<\/p>\n<p>Certos pap\u00e9is funcionaram muito melhor no FLAN-T5 do que no LLaMA 2. Pedir ao FLAN-T5 para assumir o papel de \"pol\u00edcia\" obteve \u00f3ptimos resultados, mas menos no LLaMA 2. O uso dos pap\u00e9is de \"mentor\" ou \"parceiro\" funcionou muito bem em ambos.<\/p>\n<figure id=\"attachment_8819\" aria-describedby=\"caption-attachment-8819\" style=\"width: 974px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-8819 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles.png\" alt=\"\" width=\"974\" height=\"670\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles.png 974w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles-300x206.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles-768x528.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles-370x255.png 370w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles-800x550.png 800w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles-740x509.png 740w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles-20x14.png 20w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/Best-performing-social-roles-70x48.png 70w\" sizes=\"auto, (max-width: 974px) 100vw, 974px\" \/><figcaption id=\"caption-attachment-8819\" class=\"wp-caption-text\">Pap\u00e9is sociais com melhor desempenho para FLAN-T5 e LLaMA 2. Op\u00e7\u00f5es com melhor desempenho a vermelho. Fonte: arXiv<\/figcaption><\/figure>\n<p>Curiosamente, a fun\u00e7\u00e3o de \"assistente prest\u00e1vel\", que funciona t\u00e3o bem no ChatGPT, ficou algures entre 35 e 55 na lista das melhores fun\u00e7\u00f5es dos seus resultados.<\/p>\n<p>Porque \u00e9 que estas diferen\u00e7as subtis fazem a diferen\u00e7a na precis\u00e3o dos resultados? N\u00e3o sabemos ao certo, mas fazem a diferen\u00e7a. A forma como escreve a sua pergunta e o contexto que fornece afectam definitivamente os resultados que obter\u00e1.<\/p>\n<p>Esperemos que alguns investigadores com cr\u00e9ditos de API dispon\u00edveis possam replicar esta investiga\u00e7\u00e3o utilizando o ChatGPT. Ser\u00e1 interessante obter a confirma\u00e7\u00e3o de quais fun\u00e7\u00f5es funcionam melhor nos avisos do sistema para o GPT-4. \u00c9 provavelmente uma boa aposta que os resultados ser\u00e3o distorcidos pelo g\u00e9nero, tal como aconteceu nesta investiga\u00e7\u00e3o.<\/p>","protected":false},"excerpt":{"rendered":"<p>Os investigadores da Universidade de Michigan descobriram que pedir aos grandes modelos de linguagem (LLM) para assumirem pap\u00e9is neutros em termos de g\u00e9nero ou masculinos obteve melhores respostas do que quando se utilizaram pap\u00e9is femininos. A utiliza\u00e7\u00e3o de avisos do sistema \u00e9 muito eficaz para melhorar as respostas que obt\u00e9m dos LLMs. Quando se diz ao ChatGPT para agir como um \"assistente \u00fatil\", ele tende a melhorar o seu desempenho. Os investigadores queriam descobrir quais os pap\u00e9is sociais com melhor desempenho e os seus resultados apontaram para problemas cont\u00ednuos de parcialidade nos modelos de IA. A realiza\u00e7\u00e3o das suas experi\u00eancias no ChatGPT teria custos proibitivos, pelo que utilizaram modelos de c\u00f3digo aberto FLAN-T5, LLaMA 2 e OPT-IML. Para encontrar<\/p>","protected":false},"author":6,"featured_media":8820,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[118],"class_list":["post-8817","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llms"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>LLMs improve when assuming gender-neutral or male roles | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/pt\/2024\/01\/llms-improve-when-assuming-gender-neutral-or-male-roles\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LLMs improve when assuming gender-neutral or male roles | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from the University of Michigan found that prompting Large Language Models (LLM) to assume gender-neutral or male roles elicited better responses than when using female roles. Using system prompts is very effective in improving the responses you get from LLMs. When you tell ChatGPT to act as a \u201chelpful assistant\u201d it tends to up its game. The researchers wanted to discover which social roles performed best and their results pointed to ongoing issues with bias in AI models. Running their experiments on ChatGPT would have been cost-prohibitive so they used open-source models FLAN-T5, LLaMA 2, and OPT-IML. To find\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/pt\/2024\/01\/llms-improve-when-assuming-gender-neutral-or-male-roles\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-03T12:07:10+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-03T12:10:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/gender-equality.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta 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