{"version":"1.0","provider_name":"DataHack Summit 2023","provider_url":"https:\/\/www.analyticsvidhya.com\/dhs-2023","author_name":"dhs2023","author_url":"https:\/\/www.analyticsvidhya.com\/dhs-2023\/author\/dhs2023\/","title":"Unleashing LLMs: Training, Finetuning, and Evaluating - DataHack Summit 2023","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"4S8BihSN0k\"><a href=\"https:\/\/www.analyticsvidhya.com\/dhs-2023\/workshop\/training-finetuning-and-evaluating-llms\/\">Unleashing LLMs: Training, Finetuning, and Evaluating<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.analyticsvidhya.com\/dhs-2023\/workshop\/training-finetuning-and-evaluating-llms\/embed\/#?secret=4S8BihSN0k\" width=\"600\" height=\"338\" title=\"&#8220;Unleashing LLMs: Training, Finetuning, and Evaluating&#8221; &#8212; DataHack Summit 2023\" data-secret=\"4S8BihSN0k\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/*! This file is auto-generated *\/\n!function(c,l){\"use strict\";var e=!1,o=!1;if(l.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(\/[^a-zA-Z0-9]\/.test(t.secret));else{for(var r,s,a,i=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=0;o<n.length;o++)n[o].style.display=\"none\";for(o=0;o<i.length;o++)if(r=i[o],e.source!==r.contentWindow);else{if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if(\"link\"===t.message)if(s=l.createElement(\"a\"),a=l.createElement(\"a\"),s.href=r.getAttribute(\"src\"),a.href=t.value,a.host===s.host)if(l.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener(\"message\",c.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",t,!1),c.addEventListener(\"load\",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),a=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),i=l.querySelectorAll(\"iframe.wp-embedded-content\"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute(\"data-secret\")))r=Math.random().toString(36).substr(2,10),t.src+=\"#?secret=\"+r,t.setAttribute(\"data-secret\",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute(\"security\"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:\"ready\",secret:r},\"*\")}}}}(window,document);\n<\/script>\n","thumbnail_url":"https:\/\/www.analyticsvidhya.com\/dhs-2023\/wp-content\/uploads\/2023\/07\/Workshop_llm_2-2.jpg","thumbnail_width":500,"thumbnail_height":250,"description":"There is an incredible amount of research and development in Generative AI, more specifically Large Language models (LLMs). From ChatGPT to Falcon, and countless others, their names swirl around, leaving us eager to uncover their true nature. How are these models created? How to build large language models from scratch? How do they possess the [&hellip;]"}