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        {"id":15260,"date":"2023-10-24T14:57:53","date_gmt":"2023-10-24T14:57:53","guid":{"rendered":"https:\/\/faradai.ai\/v2\/?p=15260"},"modified":"2023-10-24T17:08:23","modified_gmt":"2023-10-24T17:08:23","slug":"decarbonai-your-ai-co-pilot-for-decarbonisation","status":"publish","type":"post","link":"https:\/\/blog.faradai.ai\/netzero\/decarbonai-your-ai-co-pilot-for-decarbonisation\/","title":{"rendered":"DecarbonAI &#8211; Your AI Co-Pilot for Decarbonisation"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"15260\" class=\"elementor elementor-15260\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section data-marvy_enable_drop_animation=\"false\" data-marvy_enable_fancy_rotate=\"false\" data-marvy_enable_flying_object=\"false\" data-marvy_enable_ripples_animation=\"false\" data-marvy_enable_waves_animation=\"false\" data-marvy_enable_rings_animation=\"false\" data-marvy_enable_topology_animation=\"false\" data-marvy_enable_gradient_animation=\"false\" data-marvy_enable_snow_animation=\"false\" data-marvy_enable_firework_animation=\"false\" data-marvy_enable_cloud_animation=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-1321ef4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1321ef4\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8e756b3\" data-id=\"8e756b3\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0ca1308 elementor-widget elementor-widget-text-editor\" data-id=\"0ca1308\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.16.0 - 20-09-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h1><span lang=\"EN-US\">Introducing DecarbonAI \u2013 Your AI Co-pilot for Decarbonisation<\/span><\/h1><p>Artificial Intelligence (AI) has been making waves in many industries due to its transformative potential. The use of AI in these industries has brought about significant advancements and has the potential to impact the environment positively. It has started showing promising results in energy decarbonisation, sustainability reporting, and real-time carbon accounting analysis.<\/p><p>AI has significant potential in sustainability reporting, where it helps companies collect and analyse data more efficiently, identify areas of improvement, and set targets to achieve their sustainability goals. Real-time carbon accounting analysis is another area where AI is proving to be a game-changer, allowing companies to monitor their carbon footprint, identify areas of high emissions, and take action to reduce their carbon footprint. Overall, AI&#8217;s transformative potential in various industries is undeniable.<\/p><p>AI technologies are aiding complex data sets like granular energy data into understandable insights, and Faradai has been implementing this within Faradai Energy for several years.<\/p><p>Our latest advancement using the power of AI is DecarbonAI, a sustainability GPT. It is an exceptional tool built on chat GPT architecture&#8217;s solid foundations. The Large Language Model (LLM) is strengthened by modifying its creativity, precision, and specificity behaviour through various parameters such as temperature and top-K retrieval.<\/p><p>The temperature in language modelling refers to the generated text\u2019s variability and unpredictability level. By adjusting the temperature, we can optimise the language model output to meet your needs better. A higher temperature setting will result in more diverse and unexpected responses, while a lower temperature will produce more conservative and predictable output.<\/p><p>Top-K retrieval, on the other hand, refers to the number of possible responses that the LLM considers when generating text. Limiting the number of possible responses to a smaller subset can improve the LLM&#8217;s precision and accuracy, making it more likely to provide the best possible answer. We balance these two extremes to ensure the generated text is tailored to your requirements.<\/p><p>The first release aims to support users in answering a wide range of sustainability-related questions, from determining the appropriate reporting framework for your business and helping set emissions boundaries to establishing your obligations under SBTi and understanding the impact of the difference between a 1.5\u00b0C and 2\u00b0C pathway. We aim to help our users become more efficient in their sustainability journey by training our model with vast data sets.<\/p><p>The model has been updated with carefully curated articles, seminars and current legislation to ensure consistency and accuracy, which is more accurate than other LLMs. It uses reinforcement learning to maintain efficiency and answer quality over time. Additionally, the prompt engineering process helps to enhance potentially low-quality user inquiries, allowing us to understand better the intricate technicalities of sustainability and your business needs. We know the importance of transparency, so the model shares the resources it uses with you. It guides you better with relevant question suggestions based on your <span class=\"ui-provider ee ayk ayl aym ayn ayo ayp ayq ayr ays ayt ayu ayv ayw ayx ayy ayz aza azb azc azd aze azf azg azh azi azj azk azl azm azn azo azp azq azr\" dir=\"ltr\">inquiry.<\/span><\/p><p><strong>Expertly Curated Material:<\/strong> Selected by experienced sustainability experts to provide users access to the latest and most relevant information.<\/p><p><strong>Flexible Interaction<\/strong>: DecarbonAI can adjust its responses to meet your needs, regardless of whether you prefer brief or detailed explanations and whether you&#8217;re a beginner or an advanced user. You can receive tailored and appropriate answers to your questions for your industry by specifying your sector.<\/p><p><strong>Cutting-edge Updates:<\/strong> The digital assistant regularly updates the latest articles, research, and legislation to ensure you have the most up-to-date information.<\/p><p><strong>Prompt Engineering:<\/strong> The Co-pilot has a distinctive ability to edit and fine-tune your questions, guaranteeing accuracy in obtaining the correct responses and reducing hallucination possibilities.<\/p><p><strong>Always-on Sustainability Expertise<\/strong>: DecarbonAI is equipped to provide round-the-clock expert insights and extra tools to help navigate the emission reduction world.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Introducing DecarbonAI \u2013 Your AI Co-pilot for Decarbonisation Artificial Intelligence (AI) has been making waves in many industries due to its transformative potential. The use of AI in these industries has brought about significant advancements and has the potential to impact the environment positively. It has started showing promising results in energy decarbonisation, sustainability reporting, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":15262,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-15260","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"jetpack_featured_media_url":"https:\/\/blog.faradai.ai\/netzero\/wp-content\/uploads\/2023\/10\/DecarbonAI-1.jpg","_links":{"self":[{"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/posts\/15260","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/comments?post=15260"}],"version-history":[{"count":14,"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/posts\/15260\/revisions"}],"predecessor-version":[{"id":15276,"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/posts\/15260\/revisions\/15276"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/media\/15262"}],"wp:attachment":[{"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/media?parent=15260"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/categories?post=15260"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.faradai.ai\/netzero\/wp-json\/wp\/v2\/tags?post=15260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}