{"id":184,"date":"2025-05-02T10:47:21","date_gmt":"2025-05-02T14:47:21","guid":{"rendered":"https:\/\/businessphysics.ai\/?p=184"},"modified":"2025-05-02T10:47:23","modified_gmt":"2025-05-02T14:47:23","slug":"context-windows-tokens-in-ai-a-simple-explanation","status":"publish","type":"post","link":"https:\/\/businessphysics.ai\/pt\/context-windows-tokens-in-ai-a-simple-explanation\/","title":{"rendered":"Janelas de contexto e tokens em IA: uma explica\u00e7\u00e3o simples"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1024x576.jpeg\" alt=\"\" class=\"wp-image-185\" srcset=\"https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1024x576.jpeg 1024w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-300x169.jpeg 300w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-768x432.jpeg 768w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1536x864.jpeg 1536w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-2048x1152.jpeg 2048w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-18x10.jpeg 18w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>Janelas de contexto<\/strong> e <strong>tokens<\/strong> s\u00e3o dois conceitos fundamentais em IA, especialmente em modelos de linguagem ampla (LLMs). Compreender esses conceitos far\u00e1 com que os modelos de IA entendam melhor por que eles parecem \"esquecer\" partes da conversa depois de desenvolvidos o suficiente, bem como por que solicita\u00e7\u00f5es complexas podem ser mal interpretadas pelo modelo.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">O que s\u00e3o tokens?<\/h2>\n\n\n\n<p>Em IA, um token \u00e9 um <strong>unidade de dados<\/strong> que pode representar um caractere, uma palavra ou uma frase. Voc\u00ea pode pensar nisso como um bloco de constru\u00e7\u00e3o que os modelos usam para criar suas respostas. Normalmente, no idioma ingl\u00eas, cada token \u00e9 equivalente a 4 caracteres, embora isso n\u00e3o seja uma regra. Outros idiomas t\u00eam equival\u00eancia de tokeniza\u00e7\u00e3o diferente e isso tamb\u00e9m pode depender dos pr\u00f3prios sistemas de IA.<\/p>\n\n\n\n<p><strong>Exemplo de tokens:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Palavras completas (\"house\", \"cat\", \"wonderful\")<\/li>\n\n\n\n<li>Partes de palavras (\"un-\" \"expect-\" \"-ed\")<\/li>\n\n\n\n<li>Caracteres individuais (especialmente para pontua\u00e7\u00e3o como \".\" ou \"?\")<\/li>\n\n\n\n<li>Espa\u00e7os entre palavras<\/li>\n<\/ul>\n\n\n\n<p>Por exemplo, a frase \"Eu adoro aprender sobre IA!\" pode ser dividida em tokens como:<\/p>\n\n\n\n<p>\"I\"<br>\" amor\"<br>\" aprendizado\"<br>\" sobre\"<br>\" IA\"<br>\u201c!\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Por que os tokens s\u00e3o importantes?<\/h3>\n\n\n\n<p>Os tokens ajudam os sistemas de IA a processar a linguagem com mais efici\u00eancia. Eles n\u00e3o est\u00e3o tentando entender cada palavra que voc\u00ea digita, mas trabalham com um vocabul\u00e1rio finito de tokens. Isso torna sua tarefa muito mais gerenci\u00e1vel.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--30)\">O que \u00e9 uma janela de contexto?<\/h2>\n\n\n\n<p>As janelas de contexto s\u00e3o o limite at\u00e9 o qual determinados modelos manter\u00e3o na mem\u00f3ria as informa\u00e7\u00f5es que voc\u00ea fornecer em uma conversa, para depois responder.<\/p>\n\n\n\n<p>A janela de contexto representa a quantidade de texto (medida em tokens) que um modelo de IA pode \"ver\" e considerar de uma s\u00f3 vez ao gerar uma resposta. Ela inclui:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sua pergunta ou solicita\u00e7\u00e3o atual<\/li>\n\n\n\n<li>Mensagens anteriores na conversa<\/li>\n\n\n\n<li>Quaisquer documentos ou informa\u00e7\u00f5es que voc\u00ea tenha compartilhado<\/li>\n\n\n\n<li>Respostas anteriores da pr\u00f3pria IA<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Por que as janelas de contexto s\u00e3o importantes?<\/h3>\n\n\n\n<p>As janelas de contexto s\u00e3o importantes no sentido de que elas afetam a qualidade do resultado\/resposta. Digamos que uma IA tenha uma janela de contexto de 8.000 tokens (cerca de 6.000 palavras), ela s\u00f3 pode considerar essa quantidade de contexto para gerar a resposta. Tudo o que estiver fora dessa janela de contexto ser\u00e1 efetivamente invis\u00edvel para a IA.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Alguns benef\u00edcios pr\u00e1ticos da compreens\u00e3o desses conceitos:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Se voc\u00ea analisar uma longa <strong>documento<\/strong>Se voc\u00ea tiver que resumi-lo na janela de contexto, divida-o em se\u00e7\u00f5es menores para analis\u00e1-las e se concentrar nas partes importantes<\/li>\n\n\n\n<li>Para <strong>escrita criativa<\/strong>Se voc\u00ea estiver trabalhando em uma hist\u00f3ria, por exemplo, talvez queira acompanhar a quantidade de janela de contexto que est\u00e1 sendo usada, atualizar a conversa de tempos em tempos e resumir os cap\u00edtulos anteriores para garantir a continuidade e, ao mesmo tempo, economizar tokens.<\/li>\n\n\n\n<li>Para <strong>codifica\u00e7\u00e3o<\/strong> Nos projetos de IA, voc\u00ea deve garantir que fornecer\u00e1 apenas o contexto necess\u00e1rio para atingir seu objetivo. Como algu\u00e9m que j\u00e1 programou com IA, \u00e9 f\u00e1cil ser pregui\u00e7oso e fornecer informa\u00e7\u00f5es demais ou de menos sobre um problema que est\u00e1 tentando resolver. No entanto, isso n\u00e3o produz os melhores resultados e pode at\u00e9 atrapalh\u00e1-lo mais do que qualquer outra coisa.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:0\">Estrat\u00e9gias para trabalhar com janelas de contexto<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Seja conciso:<\/strong> Comunique-se de forma clara, mas eficiente, para economizar tokens.<\/li>\n\n\n\n<li><strong>Priorizar as informa\u00e7\u00f5es:<\/strong> Inclua os detalhes mais importantes primeiro.<\/li>\n\n\n\n<li><strong>Fa\u00e7a um resumo quando poss\u00edvel:<\/strong> Em vez de colar um documento inteiro, considere compartilhar um resumo com os pontos principais.<\/li>\n\n\n\n<li><strong>Limpeza:<\/strong> Em conversas longas, considere come\u00e7ar do zero quando o contexto ficar repleto de informa\u00e7\u00f5es irrelevantes.<\/li>\n\n\n\n<li><strong>Estruture suas perguntas:<\/strong> Perguntas bem organizadas e espec\u00edficas ajudam a IA a entender suas necessidades sem precisar de mais troca de ideias.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30)\">Conclus\u00e3o<\/h2>\n\n\n\n<p>Tokens e janelas de contexto s\u00e3o conceitos importantes a serem aprendidos quando se tenta trabalhar com IA. Entend\u00ea-los o ajudar\u00e1 a se comunicar melhor com o modelo de IA, trabalhando com todo o seu potencial e dentro de suas restri\u00e7\u00f5es. \u00c0 medida que a tecnologia de IA avan\u00e7a, as janelas de contexto ficam cada vez maiores e o processamento de tokens se torna mais eficiente, mas esses conceitos continuam sendo o cerne de como interagimos com a linguagem de IA.<\/p>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--40)\">Recursos:<\/h3>\n\n\n\n<p><strong>Tokens:<\/strong><\/p>\n\n\n\n<p>DataCamp: <a href=\"https:\/\/www.datacamp.com\/blog\/what-is-tokenization\">https:\/\/www.datacamp.com\/blog\/what-is-tokenization<\/a><br>Microsoft: <a href=\"https:\/\/learn.microsoft.com\/en-us\/dotnet\/ai\/conceptual\/understanding-tokens\">https:\/\/learn.microsoft.com\/en-us\/dotnet\/ai\/conceptual\/understanding-tokens<\/a><br>Lighton: <a href=\"https:\/\/www.lighton.ai\/lighton-blogs\/the-magic-of-tokens-in-generative-ai-a-deep-dive\">https:\/\/www.lighton.ai\/lighton-blogs\/the-magic-of-tokens-in-generative-ai-a-deep-dive<\/a><br><br><strong>Janelas de contexto:<\/strong><br><br>IBM: <a href=\"https:\/\/www.ibm.com\/think\/topics\/context-window\">https:\/\/www.ibm.com\/think\/topics\/context-window<\/a><br>McKinsey: <a href=\"https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-a-context-window\">https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-a-context-window<\/a><br>Nebius: <a href=\"https:\/\/nebius.com\/blog\/posts\/context-window-in-ai\">https:\/\/nebius.com\/blog\/posts\/context-window-in-ai<\/a><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Context windows and tokens are two foundational concepts in AI, especially in Large Language Models (LLMs). Understanding these concepts will make more sense of why AI models seem to \u201cforget\u201d parts of the conversation once developed enough as well as why complex prompts can be misinterpreted by the model. What are Tokens ? In AI, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[47,46,45],"class_list":["post-184","post","type-post","status-publish","format-standard","hentry","category-ai-article","tag-ai","tag-context-windows","tag-tokens"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Context Windows &amp; Tokens in AI: A Simple Explanation - Business Physics AI Lab<\/title>\n<meta name=\"description\" content=\"What are Context Windows in AI? What exactly are tokens in AI ? 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