How I use NotebookLM for research - NotebookLM Tutorial

- [Instructor] You're probably wondering, how did I get to NotebookLM for research? I must confess, I am a habitual note taker. I have over 20 years of physical notebooks containing everything from college lesson plans to URLs and observations I've picked up along the way. To this day, I religiously have a moleskin notebook on my desk or in my computer bag. I have used Evernote for years as my digital notebook and Apple Notes is a handy way to carry grocery lists or to send myself a URL when in the doctor's office or wherever I happened to be with my phone. To top it all off, I've been using Scrivener for the past couple of years to write articles and the scripts for my LinkedIn learning work. This is because there is a handy research section attached to every Scrivener document. Of course, I have a ton of Google Docs containing everything from lesson plans to quotes and so on that I've copied and pasted into Google Docs. The issue is my notes, as you can see, are spread across a variety of media, and pulling those sources together, if I can remember where they are, into an easily comprehended summation, course, or article is at best a daunting task, which brings me to NotebookLM from our friends at Google. I first encountered this product through the "Hard Fork" podcast. The hosts were interviewing Steve Johnson, one of Notebook LM's principals, about this new AI from Google that transforms media content into a variety of summaries, including what they called a podcast. Naturally, I immediately got a NotebookLM account, and well, here we are. As a LinkedIn learning author, NotebookLM has entered my course creation workflow. It hits that sweet spot between doing the research and writing the script. It won't write my scripts, but what enables me to do is to research the course's subject matter from a variety of sources, and you can see them over there on the left. I can then feed those sources into NotebookLM and obtain a concise summary of the data, which is kind of what you see in the middle there. If I have a question or need further insight, NotebookLM is up for the task, which is right there where it says, "Start typing," you can interact with a notebook. And this is how I came to agree with Google's positioning of the product as a research assistant. What I can tell you is the audio overview feature over here at the top on the right is interesting because you get an audible summary of all those documents you see over on the left. For students, this will most likely be a key advantage because they can record a lecture, upload the lecture, and have any other notes created loaded into NotebookLM, and they get a pretty precise look at what was just presented. Along with the written summaries and insights, the overview turns all of that into a conversational audio presentation. Speaking of the overview feature, this seems to be getting a lot of attention. Let's be clear, it will not produce a podcast. It is not going to put podcasters out of business. It is there simply to address the fact we all have different learning styles, and especially for students, listening to a summary furthers learning. In short, it is a relaxed, conversational summary of the documents. It is not entertainment. This assistant is ideal for student and their instructors in the field of UX, for example. NotebookLM is an invaluable resource for creating insights and summaries of the research conducted and to share it with all involved. In fact, any profession where data summaries are important will benefit from using NotebookLM. With that out of the way, let's get started.