{"id":7535,"date":"2021-08-31T11:07:22","date_gmt":"2021-08-31T11:07:22","guid":{"rendered":"http:\/\/invbat.com\/blog2\/?p=7535"},"modified":"2021-08-31T11:07:22","modified_gmt":"2021-08-31T11:07:22","slug":"how-machine-learning-is-changing-software-from-500k-lines-of-codes-written-in-c-to-500-line-of-dataflow-code-watch-time-315-how-is-the-reduction-of-line-of-code-become-possible-the-key-is-b","status":"publish","type":"post","link":"https:\/\/invbat.com\/blog2\/index.php\/2021\/08\/31\/how-machine-learning-is-changing-software-from-500k-lines-of-codes-written-in-c-to-500-line-of-dataflow-code-watch-time-315-how-is-the-reduction-of-line-of-code-become-possible-the-key-is-b\/","title":{"rendered":"<a href=\"https:\/\/youtu.be\/45lqfnDM9Kw\"><font color=\"blue\">   How machine learning is changing software from 500K lines of codes written in C++ to 500 line of dataflow code. (Watch time 3:15). How is the reduction of line of code become possible? The key is by re-using ML model again and again, in short transforming the ML model. This ML model is now known as ML Transformer model. (Watch time 13:00) <\/font><\/a>"},"content":{"rendered":"\n<p><a href=\"https:\/\/youtu.be\/45lqfnDM9Kw\"> \n\nHow machine learning is changing software from 500K lines of codes written in C++ to 500 line of dataflow code. (Watch time 3:15). How is the reduction of line of code become possible? The key is by re-using ML model again and again, in short transforming the ML model. This ML model is now known as ML Transformer model. (Watch time 13:00)\n\n<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/invbat.com\/ads1.html\"><img loading=\"lazy\" decoding=\"async\" width=\"885\" height=\"305\" src=\"https:\/\/invbat.com\/blog2\/wp-content\/uploads\/2021\/04\/Help2.png\" alt=\"\" class=\"wp-image-5005\" srcset=\"https:\/\/invbat.com\/blog2\/wp-content\/uploads\/2021\/04\/Help2.png 885w, https:\/\/invbat.com\/blog2\/wp-content\/uploads\/2021\/04\/Help2-300x103.png 300w, https:\/\/invbat.com\/blog2\/wp-content\/uploads\/2021\/04\/Help2-768x265.png 768w\" sizes=\"auto, (max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 1362px) 62vw, 840px\" \/><\/a><\/figure><p>advertisement<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How machine learning is changing software from 500K lines of codes written in C++ to 500 line of dataflow code. (Watch time 3:15). How is the reduction of line of code become possible? The key is by re-using ML model again and again, in short transforming the ML model. This ML model is now known &hellip; <a href=\"https:\/\/invbat.com\/blog2\/index.php\/2021\/08\/31\/how-machine-learning-is-changing-software-from-500k-lines-of-codes-written-in-c-to-500-line-of-dataflow-code-watch-time-315-how-is-the-reduction-of-line-of-code-become-possible-the-key-is-b\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;<a href=\"https:\/\/youtu.be\/45lqfnDM9Kw\"><font color=\"blue\">   How machine learning is changing software from 500K lines of codes written in C++ to 500 line of dataflow code. (Watch time 3:15). How is the reduction of line of code become possible? The key is by re-using ML model again and again, in short transforming the ML model. This ML model is now known as ML Transformer model. (Watch time 13:00) <\/font><\/a>&#8220;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[469],"tags":[],"class_list":["post-7535","post","type-post","status-publish","format-standard","hentry","category-ai-successfully-reducing-500k-line-of-codes-to-500-line-of-dataflow-code"],"_links":{"self":[{"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/posts\/7535","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/comments?post=7535"}],"version-history":[{"count":1,"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/posts\/7535\/revisions"}],"predecessor-version":[{"id":7536,"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/posts\/7535\/revisions\/7536"}],"wp:attachment":[{"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/media?parent=7535"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/categories?post=7535"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/invbat.com\/blog2\/index.php\/wp-json\/wp\/v2\/tags?post=7535"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}