{"id":13757,"date":"2023-07-12T16:36:44","date_gmt":"2023-07-12T16:36:44","guid":{"rendered":"http:\/\/scannn.com\/how-to-try-googles-experimental-ai-first-notebook\/"},"modified":"2023-07-12T16:36:44","modified_gmt":"2023-07-12T16:36:44","slug":"how-to-try-googles-experimental-ai-first-notebook","status":"publish","type":"post","link":"https:\/\/scannn.com\/lv\/how-to-try-googles-experimental-ai-first-notebook\/","title":{"rendered":"How to try Google\u2019s experimental AI-first notebook"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p data-block-key=\"wrbmq\">NotebookLM is an experimental product designed to use the power and promise of language models paired with your existing content to gain critical insights, faster. Think of it as a virtual research assistant that can summarize facts, explain complex ideas, and brainstorm new connections \u2014 all based on the sources you select.<\/p>\n<p data-block-key=\"8he48\">A key difference between NotebookLM and traditional AI chatbots is that NotebookLM lets you \u201cground\u201d the language model in your notes and sources. Source-grounding effectively creates a personalized AI that\u2019s versed in the information relevant to you. Starting today, you can ground NotebookLM in specific Google Docs that you choose, and we\u2019ll be adding additional formats soon.<\/p>\n<p data-block-key=\"7c9e9\">Once you\u2019ve selected your Google Docs, you can do three things:<\/p>\n<ul>\n<li data-block-key=\"58a93\"><b>Get a summary:<\/b> When you first add a Google Doc into NotebookLM, it will automatically generate a summary, along with key topics and questions to ask so you get a better understanding of the material.<\/li>\n<li data-block-key=\"6mhmm\"><b>Ask questions:<\/b> When you\u2019re ready for a deeper dive, you can ask questions about the documents you\u2019ve uploaded. For example:\n<ul>\n<li data-block-key=\"5mniq\">A medical student could upload a scientific article about neuroscience and tell NotebookLM to \u201ccreate a glossary of key terms related to dopamine\u201d<\/li>\n<li data-block-key=\"3a9ai\">An author working on a biography could upload research notes and ask a question like: \u201cSummarize all the times Houdini and Conan Doyle interacted.\u201d<\/li>\n<\/ul>\n<\/li>\n<li data-block-key=\"9k9mv\"><b>Generate ideas:<\/b> NotebookLM isn\u2019t just for Q&amp;A. We\u2019ve found some of its more delightful and useful capabilities are when it\u2019s able to help people come up with creative new ideas. For example:\n<ul>\n<li data-block-key=\"d158b\">A content creator could upload their ideas for new videos and ask: \u201cGenerate a script for a short video on this topic.\u201d<\/li>\n<li data-block-key=\"be0fh\">Or an entrepreneur raising money could upload their pitch and ask: \u201cWhat questions would potential investors ask?\u201d<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p data-block-key=\"4t4o4\">While NotebookLM\u2019s source-grounding does seem to reduce the risk of model \u201challucinations,\u201d it\u2019s always important to fact-check the AI\u2019s responses against your original source material. When you&#8217;re drawing on multiple sources, we make that fact-checking easy by accompanying each response with citations, showing you the most relevant original quotes from your sources.<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/blog.google\/technology\/ai\/notebooklm-google-ai\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NotebookLM is an experimental product designed to use the power and promise of language models paired with your existing content to gain critical insights, faster. Think of it as a virtual research assistant that can summarize facts, explain complex ideas, and brainstorm new connections \u2014 all based on the sources you select. A key difference [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":13758,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[100],"tags":[],"class_list":["post-13757","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\/13757","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=13757"}],"version-history":[{"count":0,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/posts\/13757\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media\/13758"}],"wp:attachment":[{"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/media?parent=13757"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/categories?post=13757"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scannn.com\/lv\/wp-json\/wp\/v2\/tags?post=13757"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}