1.0Kairntech Documentationhttps://kairntech.com/dockairntechhttps://kairntech.com/doc/author/kairntech/rich600338<blockquote class="wp-embedded-content" data-secret="tU3ScUxz7k"><a href="https://kairntech.com/doc/how-to-configure-a-summarizer/">How to configure a summarizer?</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://kairntech.com/doc/how-to-configure-a-summarizer/embed/#?secret=tU3ScUxz7k" width="600" height="338" title="“How to configure a summarizer?” — Kairntech Documentation" data-secret="tU3ScUxz7k" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://kairntech.com/doc/wp-includes/js/wp-embed.min.js </script> Different prepackaged summarization components (extractive and abstractive) are available to compute a short summary of a longer piece of text. Abstractive Summarization with LLM The algorithm creates an entirely new text, based on the content of the document. Large Language Models are very well fitted for this task. Extractive Summarization An algorithm identifies the most […]https://kairntech.com/doc/wp-content/uploads/sites/2/2024/02/Pipeline-10.png957638