{"id":5143,"date":"2023-09-07T11:38:29","date_gmt":"2023-09-07T11:38:29","guid":{"rendered":"https:\/\/dailyai.com\/?p=5143"},"modified":"2023-09-07T11:38:29","modified_gmt":"2023-09-07T11:38:29","slug":"microsofts-algorithm-of-thoughts-will-make-ai-even-smarter","status":"publish","type":"post","link":"https:\/\/dailyai.com\/pt\/2023\/09\/microsofts-algorithm-of-thoughts-will-make-ai-even-smarter\/","title":{"rendered":"O Algoritmo de Pensamentos da Microsoft vai tornar a IA ainda mais inteligente"},"content":{"rendered":"<p><strong>Os investigadores da Microsoft desenvolveram um Algoritmo de Pensamentos (AoT) que constitui uma mudan\u00e7a de paradigma na forma como a IA resolve os problemas.<\/strong><\/p>\n<p>O AoT foi desenvolvido para que os LLMs pensem mais como os humanos e se tornem mais eficientes na resolu\u00e7\u00e3o de problemas. A Microsoft afirma que o seu <a href=\"https:\/\/arxiv.org\/pdf\/2308.10379.pdf\">nova abordagem<\/a> combina as \"nuances do racioc\u00ednio humano e a precis\u00e3o disciplinada das metodologias algor\u00edtmicas\".<\/p>\n<p>O atual processo da Cadeia de Pensamento que os LLMs, como o ChatGPT, usam, baseia-se em padr\u00f5es estat\u00edsticos para ir do prompt ao output. \u00c9 uma progress\u00e3o muito linear do problema para a solu\u00e7\u00e3o, uma vez que o LLM divide a solu\u00e7\u00e3o em passos mais pequenos.<\/p>\n<p>O problema com esta abordagem \u00e9 que os dados de treino nem sempre s\u00e3o suficientes, pelo que por vezes faltam alguns passos. Quando isto acontece, o LLM \u00e9 criativo e <a href=\"https:\/\/dailyai.com\/pt\/2023\/07\/is-chatgpt-getting-worse-heres-everything-we-know-so-far\/\">alucina<\/a> para preencher as lacunas com uma resposta incorrecta.<\/p>\n<p>Uma t\u00e9cnica mais avan\u00e7ada que alguns LLMs usam \u00e9 encontrar uma solu\u00e7\u00e3o usando a abordagem da \u00c1rvore de Pensamento. O LLM segue v\u00e1rios caminhos lineares do problema para a solu\u00e7\u00e3o e p\u00e1ra quando encontra uma solu\u00e7\u00e3o invi\u00e1vel.<\/p>\n<p>Mas isto envolve muitas consultas e consome muita mem\u00f3ria e recursos inform\u00e1ticos.<\/p>\n<h2>O que \u00e9 que torna AoT melhor?<\/h2>\n<p>Com o AoT, o algoritmo avalia os primeiros passos de uma solu\u00e7\u00e3o potencial e decide desde o in\u00edcio se vale a pena prosseguir com uma abordagem ou n\u00e3o. Isto evita que o algoritmo siga obstinadamente por um caminho obviamente errado e depois tenha de inventar algo.<\/p>\n<p>Al\u00e9m disso, em vez de uma abordagem linear, o AoT d\u00e1 ao LLM a capacidade de pesquisar v\u00e1rias solu\u00e7\u00f5es potenciais e at\u00e9 mesmo voltar atr\u00e1s quando necess\u00e1rio. Em vez de come\u00e7ar do in\u00edcio quando chega a um beco sem sa\u00edda, pode voltar ao passo anterior e continuar a explorar.<\/p>\n<p>A abordagem atual utilizada pelos LLM \u00e9 como ir de carro de casa at\u00e9 ao destino, perder-se e depois voltar para casa para tentar um caminho diferente. A abordagem AoT consiste em regressar \u00e0 \u00faltima curva errada e tentar um novo percurso a partir desse ponto.<\/p>\n<p>Esta abordagem de \"aprendizagem em contexto\" permite que o modelo seja muito mais estruturado e sistem\u00e1tico na forma como resolve os problemas. \u00c9 muito menos exigente em termos de recursos e pode potencialmente erradicar o problema que os MLT t\u00eam com a alucina\u00e7\u00e3o.<\/p>\n<p>Mesmo com esta nova abordagem, a IA ainda est\u00e1 longe de pensar e raciocinar como os humanos. No entanto, com AoT, parece que foi dado um passo significativo nessa dire\u00e7\u00e3o.<\/p>\n<p>Uma conclus\u00e3o que os investigadores tiraram das suas experi\u00eancias foi que os seus \"resultados sugerem que instruir um LLM utilizando um algoritmo pode levar a um desempenho superior ao do pr\u00f3prio algoritmo\".<\/p>\n<p>\u00c9 exatamente isso que o nosso c\u00e9rebro faz. Temos a capacidade inerente de aprender novas compet\u00eancias que n\u00e3o sab\u00edamos antes. Imagine se uma ferramenta como o ChatGPT fosse capaz de aprender atrav\u00e9s do racioc\u00ednio sem necessidade de forma\u00e7\u00e3o adicional.<\/p>\n<p>Esta nova abordagem poder\u00e1 tamb\u00e9m levar a que a IA seja mais transparente no seu processo de \"pensamento\", dando-nos uma vis\u00e3o do que est\u00e1 realmente a acontecer por detr\u00e1s do c\u00f3digo.<\/p>","protected":false},"excerpt":{"rendered":"<p>Os investigadores da Microsoft desenvolveram um Algoritmo de Pensamentos (AoT) que constitui uma mudan\u00e7a de paradigma na forma como a IA resolve problemas. O AoT foi desenvolvido para que os LLMs pensem mais como os humanos e se tornem mais eficientes na resolu\u00e7\u00e3o de problemas. A Microsoft afirma que a sua nova abordagem combina as \"nuances do racioc\u00ednio humano e a precis\u00e3o disciplinada das metodologias algor\u00edtmicas\". O atual processo da Cadeia de Pensamento que os LLMs, como o ChatGPT, utilizam, baseia-se em padr\u00f5es estat\u00edsticos para ir do prompt ao resultado. \u00c9 uma progress\u00e3o muito linear do problema para a solu\u00e7\u00e3o, uma vez que o LLM divide a solu\u00e7\u00e3o em passos mais pequenos. O problema com<\/p>","protected":false},"author":6,"featured_media":2181,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[207,105,121],"class_list":["post-5143","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llm","tag-machine-learning","tag-microsoft"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Microsoft\u2019s Algorithm of Thoughts will make AI even smarter | 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\/2023\/09\/microsofts-algorithm-of-thoughts-will-make-ai-even-smarter\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft\u2019s Algorithm of Thoughts will make AI even smarter | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Microsoft researchers have developed an Algorithm of Thoughts (AoT) which is a paradigm shift in how AI solves problems. The AoT was developed to make LLMs think more like humans do and to become more efficient at problem-solving. Microsoft claims that its new approach combines the &#8220;nuances of human reasoning and the disciplined precision of algorithmic methodologies.&#8221; The current Chain of Thought process that LLMs like ChatGPT use, relies on statistical patterns to go from prompt to output. It\u2019s a very linear progression from problem to solution as the LLM breaks the solution up into smaller steps. 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