{"id":7206,"date":"2023-05-03T19:14:50","date_gmt":"2023-05-03T19:14:50","guid":{"rendered":"https:\/\/4linux.com.br\/consultoria\/?page_id=7206"},"modified":"2023-05-23T17:22:09","modified_gmt":"2023-05-23T17:22:09","slug":"download-ebook-fine-tuning-gpt","status":"publish","type":"page","link":"https:\/\/4linux.com.br\/consultoria\/download-ebook-fine-tuning-gpt\/","title":{"rendered":"Ebook API Fine Tuning GPT"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"7206\" class=\"elementor elementor-7206\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t\t<section class=\"elementor-element elementor-element-94001d4 s-hero e-flex e-con-boxed e-con e-parent\" data-id=\"94001d4\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[],&quot;container_type&quot;:&quot;flex&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-7c5b73e e-con-full e-flex e-con e-parent\" data-id=\"7c5b73e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;,&quot;jet_parallax_layout_list&quot;:[],&quot;container_type&quot;:&quot;flex&quot;}\" data-aos=\"fade-right\" data-core-v316-plus=\"true\">\n\t\t\t\t<div class=\"elementor-element elementor-element-874a87a elementor-widget elementor-widget-heading\" data-id=\"874a87a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Fa\u00e7a o download do ebook:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ba4939a elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"ba4939a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Fine Tuning na GPT-3.5 ou GPT-4: a IA resolvendo problemas do SEU neg\u00f3cio<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c5a011 elementor-widget elementor-widget-heading\" data-id=\"4c5a011\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">O que voc\u00ea vai aprender neste ebook:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa00cad elementor-widget__width-initial elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"aa00cad\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"131\" height=\"131\" viewBox=\"0 0 131 131\" fill=\"none\"><g id=\"bg-star 1\" clip-path=\"url(#clip0_2002_5)\"><path id=\"star\" d=\"M64.2313 0.965163C64.9811 0.394831 66.0193 0.394833 66.7691 0.965164L79.3967 10.5701C79.8343 10.9029 80.3851 11.0505 80.9304 10.981L96.6687 8.97673C97.6032 8.85772 98.5023 9.37682 98.8665 10.2457L105 24.8776C105.212 25.3846 105.615 25.7878 106.122 26.0003L120.754 32.1337C121.623 32.4979 122.142 33.397 122.023 34.3315L120.019 50.0698C119.95 50.6151 120.097 51.1659 120.43 51.6035L130.035 64.2311C130.605 64.9809 130.605 66.0191 130.035 66.7689L120.43 79.3965C120.097 79.8341 119.95 80.3849 120.019 80.9302L122.023 96.6685C122.142 97.603 121.623 98.5021 120.754 98.8663L106.122 105C105.615 105.212 105.212 105.615 105 106.122L98.8665 120.754C98.5023 121.623 97.6032 122.142 96.6687 122.023L80.9304 120.019C80.3851 119.95 79.8343 120.097 79.3967 120.43L66.7691 130.035C66.0193 130.605 64.9811 130.605 64.2313 130.035L51.6037 120.43C51.1661 120.097 50.6153 119.95 50.07 120.019L34.3317 122.023C33.3972 122.142 32.4981 121.623 32.1339 120.754L26.0005 106.122C25.788 105.615 25.3848 105.212 24.8778 105L10.2459 98.8663C9.377 98.5021 8.8579 97.603 8.97691 96.6685L10.9812 80.9302C11.0507 80.3849 10.9031 79.8341 10.5703 79.3965L0.965346 66.7689C0.395014 66.0191 0.395016 64.9809 0.965347 64.2311L10.5703 51.6035C10.9031 51.1659 11.0507 50.6151 10.9812 50.0698L8.97691 34.3315C8.8579 33.397 9.377 32.4979 10.2459 32.1337L24.8778 26.0003C25.3848 25.7878 25.788 25.3846 26.0005 24.8776L32.1339 10.2457C32.4981 9.37682 33.3972 8.85772 34.3317 8.97673L50.07 10.981C50.6153 11.0505 51.1661 10.9029 51.6037 10.5701L64.2313 0.965163Z\" fill=\"#12D7D3\"><\/path><path id=\"check\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M97.8642 49L60.1822 86.682H53.8182L34.6362 67.5L41.0002 61.136L57.0002 77.136L91.5002 42.636L97.8642 49Z\" fill=\"black\"><\/path><\/g><defs><clipPath id=\"clip0_2002_5\"><rect width=\"131\" height=\"131\" fill=\"white\"><\/rect><\/clipPath><\/defs><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Como o Fine Tuning da GPT pode impactar os seus neg\u00f3cios.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"131\" height=\"131\" viewBox=\"0 0 131 131\" fill=\"none\"><g id=\"bg-star 1\" clip-path=\"url(#clip0_2002_5)\"><path id=\"star\" d=\"M64.2313 0.965163C64.9811 0.394831 66.0193 0.394833 66.7691 0.965164L79.3967 10.5701C79.8343 10.9029 80.3851 11.0505 80.9304 10.981L96.6687 8.97673C97.6032 8.85772 98.5023 9.37682 98.8665 10.2457L105 24.8776C105.212 25.3846 105.615 25.7878 106.122 26.0003L120.754 32.1337C121.623 32.4979 122.142 33.397 122.023 34.3315L120.019 50.0698C119.95 50.6151 120.097 51.1659 120.43 51.6035L130.035 64.2311C130.605 64.9809 130.605 66.0191 130.035 66.7689L120.43 79.3965C120.097 79.8341 119.95 80.3849 120.019 80.9302L122.023 96.6685C122.142 97.603 121.623 98.5021 120.754 98.8663L106.122 105C105.615 105.212 105.212 105.615 105 106.122L98.8665 120.754C98.5023 121.623 97.6032 122.142 96.6687 122.023L80.9304 120.019C80.3851 119.95 79.8343 120.097 79.3967 120.43L66.7691 130.035C66.0193 130.605 64.9811 130.605 64.2313 130.035L51.6037 120.43C51.1661 120.097 50.6153 119.95 50.07 120.019L34.3317 122.023C33.3972 122.142 32.4981 121.623 32.1339 120.754L26.0005 106.122C25.788 105.615 25.3848 105.212 24.8778 105L10.2459 98.8663C9.377 98.5021 8.8579 97.603 8.97691 96.6685L10.9812 80.9302C11.0507 80.3849 10.9031 79.8341 10.5703 79.3965L0.965346 66.7689C0.395014 66.0191 0.395016 64.9809 0.965347 64.2311L10.5703 51.6035C10.9031 51.1659 11.0507 50.6151 10.9812 50.0698L8.97691 34.3315C8.8579 33.397 9.377 32.4979 10.2459 32.1337L24.8778 26.0003C25.3848 25.7878 25.788 25.3846 26.0005 24.8776L32.1339 10.2457C32.4981 9.37682 33.3972 8.85772 34.3317 8.97673L50.07 10.981C50.6153 11.0505 51.1661 10.9029 51.6037 10.5701L64.2313 0.965163Z\" fill=\"#12D7D3\"><\/path><path id=\"check\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M97.8642 49L60.1822 86.682H53.8182L34.6362 67.5L41.0002 61.136L57.0002 77.136L91.5002 42.636L97.8642 49Z\" fill=\"black\"><\/path><\/g><defs><clipPath id=\"clip0_2002_5\"><rect width=\"131\" height=\"131\" fill=\"white\"><\/rect><\/clipPath><\/defs><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Detalhes dos servi\u00e7os prestados pela 4Linux, relacionados ao fine tuning GPT.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"131\" height=\"131\" viewBox=\"0 0 131 131\" fill=\"none\"><g id=\"bg-star 1\" clip-path=\"url(#clip0_2002_5)\"><path id=\"star\" d=\"M64.2313 0.965163C64.9811 0.394831 66.0193 0.394833 66.7691 0.965164L79.3967 10.5701C79.8343 10.9029 80.3851 11.0505 80.9304 10.981L96.6687 8.97673C97.6032 8.85772 98.5023 9.37682 98.8665 10.2457L105 24.8776C105.212 25.3846 105.615 25.7878 106.122 26.0003L120.754 32.1337C121.623 32.4979 122.142 33.397 122.023 34.3315L120.019 50.0698C119.95 50.6151 120.097 51.1659 120.43 51.6035L130.035 64.2311C130.605 64.9809 130.605 66.0191 130.035 66.7689L120.43 79.3965C120.097 79.8341 119.95 80.3849 120.019 80.9302L122.023 96.6685C122.142 97.603 121.623 98.5021 120.754 98.8663L106.122 105C105.615 105.212 105.212 105.615 105 106.122L98.8665 120.754C98.5023 121.623 97.6032 122.142 96.6687 122.023L80.9304 120.019C80.3851 119.95 79.8343 120.097 79.3967 120.43L66.7691 130.035C66.0193 130.605 64.9811 130.605 64.2313 130.035L51.6037 120.43C51.1661 120.097 50.6153 119.95 50.07 120.019L34.3317 122.023C33.3972 122.142 32.4981 121.623 32.1339 120.754L26.0005 106.122C25.788 105.615 25.3848 105.212 24.8778 105L10.2459 98.8663C9.377 98.5021 8.8579 97.603 8.97691 96.6685L10.9812 80.9302C11.0507 80.3849 10.9031 79.8341 10.5703 79.3965L0.965346 66.7689C0.395014 66.0191 0.395016 64.9809 0.965347 64.2311L10.5703 51.6035C10.9031 51.1659 11.0507 50.6151 10.9812 50.0698L8.97691 34.3315C8.8579 33.397 9.377 32.4979 10.2459 32.1337L24.8778 26.0003C25.3848 25.7878 25.788 25.3846 26.0005 24.8776L32.1339 10.2457C32.4981 9.37682 33.3972 8.85772 34.3317 8.97673L50.07 10.981C50.6153 11.0505 51.1661 10.9029 51.6037 10.5701L64.2313 0.965163Z\" fill=\"#12D7D3\"><\/path><path id=\"check\" fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M97.8642 49L60.1822 86.682H53.8182L34.6362 67.5L41.0002 61.136L57.0002 77.136L91.5002 42.636L97.8642 49Z\" fill=\"black\"><\/path><\/g><defs><clipPath id=\"clip0_2002_5\"><rect width=\"131\" height=\"131\" fill=\"white\"><\/rect><\/clipPath><\/defs><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Exemplos de caso de uso do Fine Tuning.<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4af2ed4 e-con-full e-flex e-con e-parent\" data-id=\"4af2ed4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;,&quot;jet_parallax_layout_list&quot;:[],&quot;container_type&quot;:&quot;flex&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e228c9b elementor-widget elementor-widget-heading\" data-id=\"e228c9b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">preencha o formul\u00e1rio abaixo:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1bb7c48 elementor-widget elementor-widget-shortcode\" data-id=\"1bb7c48\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"mautic-form-lazy-664b1a2dbd5c9\"><script type=\"text\/javascript\">\n(function() {\n\n    let generate = document.createElement(\"script\");\n    generate.src = 'https:\/\/mautic.4linux.com.br\/form\/generate.js?id=372';\n    generate.type = \"text\/javascript\";\n    generate.async = true;\n\n    window.addEventListener('load', function(){\n        let elements = document.getElementsByClassName('mautic-form-lazy-664b1a2dbd5c9');\n        for (element of elements) {\n            element.appendChild(generate);\n        }\n    });\n    \n})();\n<\/script><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9f4d3ff e-flex e-con-boxed e-con e-parent\" data-id=\"9f4d3ff\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;container_type&quot;:&quot;flex&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e4c7b41 e-flex e-con-boxed e-con e-parent\" data-id=\"e4c7b41\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;container_type&quot;:&quot;flex&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a92d51c elementor-position-left elementor-vertical-align-middle elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"a92d51c\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"64\" height=\"64\" viewBox=\"0 0 64 64\" fill=\"none\"><g clip-path=\"url(#clip0_2245_32)\"><path d=\"M8 50.6667C11.6485 48.5602 15.7871 47.4513 20 47.4513C24.2129 47.4513 28.3515 48.5602 32 50.6667C35.6485 48.5602 39.7871 47.4513 44 47.4513C48.2129 47.4513 52.3515 48.5602 56 50.6667\" stroke=\"white\" stroke-width=\"2.75\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path><path d=\"M8 16C11.6485 13.8936 15.7871 12.7846 20 12.7846C24.2129 12.7846 28.3515 13.8936 32 16C35.6485 13.8936 39.7871 12.7846 44 12.7846C48.2129 12.7846 52.3515 13.8936 56 16\" stroke=\"white\" stroke-width=\"2.75\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path><path d=\"M8 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width=\"64\" height=\"64\" fill=\"white\"><\/rect><\/clipPath><\/defs><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t<span  >\n\t\t\t\t\t\tEbook 100% gratuito\t\t\t\t\t<\/span>\n\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2fc2281 e-flex e-con-boxed e-con e-parent\" data-id=\"2fc2281\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;container_type&quot;:&quot;flex&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ee8cf8 elementor-position-left elementor-vertical-align-middle elementor-view-default elementor-mobile-position-top elementor-widget elementor-widget-icon-box\" data-id=\"1ee8cf8\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"64\" height=\"64\" viewBox=\"0 0 64 64\" fill=\"none\"><g clip-path=\"url(#clip0_2245_43)\"><path d=\"M16 13.3333H48L56 26.6667L33.3333 52C33.1595 52.1774 32.9521 52.3183 32.7231 52.4145C32.4942 52.5107 32.2483 52.5603 32 52.5603C31.7517 52.5603 31.5058 52.5107 31.2769 52.4145C31.0479 52.3183 30.8405 52.1774 30.6667 52L8 26.6667L16 13.3333Z\" stroke=\"white\" stroke-width=\"2.75\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path><path opacity=\"0.7\" d=\"M26.6668 32L21.3335 26.1333L22.9335 23.4667\" stroke=\"white\" stroke-width=\"2.75\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path><\/g><defs><clipPath id=\"clip0_2245_43\"><rect width=\"64\" height=\"64\" fill=\"white\"><\/rect><\/clipPath><\/defs><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t<span  >\n\t\t\t\t\t\tConte\u00fado exclusivo\t\t\t\t\t<\/span>\n\t\t\t\t<\/h3>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Fa\u00e7a o download do ebook: Fine Tuning na GPT-3.5 ou GPT-4: a IA resolvendo problemas do SEU neg\u00f3cio O que voc\u00ea vai aprender neste ebook: Como o Fine Tuning da GPT pode impactar os seus neg\u00f3cios. Detalhes dos servi\u00e7os prestados pela 4Linux, relacionados ao fine tuning GPT. Exemplos de caso de uso do Fine Tuning. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ebook API Fine Tuning GPT - Consultoria e Suporte 4Linux<\/title>\n<meta name=\"description\" content=\"ebook gratuito sobre algoritmo de machine learning para treinamento de modelos de processamento de linguagem natural (NLP) usando Fine Tuning GPT-3.5 ou GPT-4. Micro servi\u00e7os em Python para encapsulamento de algoritmos de ML. Parseamento de documentos para cria\u00e7\u00e3o de datasets privados.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/4linux.com.br\/consultoria\/download-ebook-fine-tuning-gpt\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ebook API Fine Tuning GPT - Consultoria e Suporte 4Linux\" \/>\n<meta property=\"og:description\" content=\"ebook gratuito sobre algoritmo de machine learning para treinamento de modelos de processamento de linguagem natural (NLP) usando Fine Tuning GPT-3.5 ou GPT-4. Micro servi\u00e7os em Python para encapsulamento de algoritmos de ML. 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