{"id":18721,"date":"2024-06-06T11:26:28","date_gmt":"2024-06-06T11:26:28","guid":{"rendered":"http:\/\/scannn.com\/notebooklm-goes-global-with-slides-support-and-better-ways-to-fact-check\/"},"modified":"2024-06-06T11:26:28","modified_gmt":"2024-06-06T11:26:28","slug":"notebooklm-goes-global-with-slides-support-and-better-ways-to-fact-check","status":"publish","type":"post","link":"https:\/\/scannn.com\/lv\/notebooklm-goes-global-with-slides-support-and-better-ways-to-fact-check\/","title":{"rendered":"NotebookLM goes global with Slides support and better ways to fact-check"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<h2 data-block-key=\"gfd0d\">Case studies from real users<\/h2>\n<p data-block-key=\"bnunu\">We\u2019ve been amazed by the range of uses that people are finding for NotebookLM. Because the product was developed in close partnership with authors, students and educators, we\u2019ve seen many early adopters integrate it into research and writing workflows. Best-selling author Walter Isaacson has been working with NotebookLM to analyze Marie Curie&#8217;s journals for research on his next book. We\u2019ve seen similar enthusiasm from documentary and podcast researchers who need to sift through complex archives to generate scripts or story ideas. But the combination of Gemini 1.5 Pro\u2019s advanced reasoning abilities and NotebookLM\u2019s source-grounding architecture has unlocked many other potential applications:<\/p>\n<ul>\n<li data-block-key=\"6jnc1\">In local governance, Palm Bay resident Thomas Gaume created a hyperlocal newsletter, aggregating city ordinances, land use data, zoning codes and council meeting minutes. NotebookLM empowered him to be a &#8220;one-person newsroom and publisher.&#8221;<\/li>\n<li data-block-key=\"3o3c5\">NotebookLM\u2019s ability to summarize and adapt interview transcripts is helping users identify patterns and themes in raw transcripts, saving hours of manual analysis. For example, consultant Victor Adefuye uses NotebookLM to analyze sales call transcripts for targeted training and coaching.<\/li>\n<li data-block-key=\"f9ia9\">Nonprofits have deployed NotebookLM to help them identify needs in underserved communities and organize information for grant proposals.<\/li>\n<\/ul>\n<p data-block-key=\"2em65\">We\u2019ve also noticed some unexpected and playful use cases with the help of our 14,000 member Discord community, including novelists and fan-fiction authors managing complex storylines using NotebookLM, and our favorite: role-playing game enthusiasts consulting detailed descriptions of fantasy worlds for games like Dungeons and Dragons.<\/p>\n<h2 data-block-key=\"8eut0\">Getting started<\/h2>\n<p data-block-key=\"ai25o\">If you\u2019re new to NotebookLM, getting started is easy: When you first access NotebookLM, you\u2019ll create a notebook and upload documents for a specific project or deliverable. At that point you can read, take notes, ask questions, organize your ideas, or ask NotebookLM to create automatic overviews of all your sources \u2014 a study guide, for example, or a table of contents. And with NotebookLM, the sources you upload are not used to train the model.<\/p>\n<p data-block-key=\"26elq\">Whether it\u2019s being used to build imaginary worlds, write bestselling biographies, or help salespeople find new customers, NotebookLM has given U.S. users powerful tools for making connections and generating insights out of large collections of documents. We can\u2019t wait to see what the rest of the world does with it.<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/blog.google\/technology\/ai\/notebooklm-goes-global-support-for-websites-slides-fact-check\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Case studies from real users We\u2019ve been amazed by the range of uses that people are finding for NotebookLM. Because the product was developed in close partnership with authors, students and educators, we\u2019ve seen many early adopters integrate it into research and writing workflows. Best-selling author Walter Isaacson has been working with NotebookLM to analyze [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":18722,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[100],"tags":[],"class_list":["post-18721","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-google"],"_links":{"self":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts\/18721","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/comments?post=18721"}],"version-history":[{"count":0,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts\/18721\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media\/18722"}],"wp:attachment":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media?parent=18721"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/categories?post=18721"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/tags?post=18721"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}