Скачать с ютуб How to Use NotebookLM (Google's AI "Tool for Understanding") в хорошем качестве

How to Use NotebookLM (Google's AI "Tool for Understanding")

🔎 WHAT'S YOUR PRODUCTIVITY POTENTIAL? Take our Productivity Pulse Check to evaluate your daily habits and find out where you can make improvements. Take the quiz now: https://fortelabs.typeform.com/pulsec... 🧠 HOW YOU CAN BUILD YOUR SECOND BRAIN Order the book: https://www.buildingasecondbrain.com/... Take the course: https://www.buildingasecondbrain.com/... 📬 JOIN THE FORTE LABS NEWSLETTER Level up your productivity and life with new essays, videos, event invites, and other resources every Tuesday. Join 125k subscribers exploring the frontier of modern work, experimenting with new ways of doing more with less, and discovering what it means to fulfill our human potential. Subscribe here: https://fortelabs.com/subscribe 🐥 FOLLOW US ON SOCIALS Always get the latest updates and insights around Building a Second Brain. Twitter:   / fortelabs   LinkedIn:   / tiagoforte   Facebook:   / fortelabs   Instagram:   / fortelabsco   Building a Second Brain is the proven method to organize your digital life and unlock your creative potential. We're on a mission to help you increase your productivity, and lead a more fulfilling life with more ease and less stress. ——————————- Google's NotebookLM is way more than notetaking, writing, or organizational tool. It's an AI collaborator, grounded in your data with your unique view of the world. In this tutorial, I'll give you a tour of the main functionalities, demonstrate concrete use cases such as making sense of meeting notes or writing an article, and cover the current limitations. Visit https://notebooklm.google.com to sign up for a free NotebookLM account using your Google login (You must be at least 18 years of age, based in the U.S., and Workspace users must have “Experimental apps enabled” by an administrator) 😎 Get 60 days of Readwise for free: https://readwise.io/basb/ 📖 Watch my full Readwise tutorial:    • Automate Your Highlights: The Lazy Ge...   TECHNICAL NOTES [08:37]: NotebookLM isn’t actually “trained” on your data. The model is pre-trained, and the software just shuttles your inputs into its context window temporarily so it can answer factually based on that information. Once you end your session, the information you entered is wiped from the model's memory so your data is secure. [13:30]: NotebookLM can answer specific questions, but holistic questions (such as "Give me an outline of the entire book, in order") are harder, because the model can’t take in the entire document at once; it can only see the most relevant passages for a given query. CHAPTERS 00:00 - 01:20 Intro 01:21 - 09:04 Getting started 09:06 - 14:52 Use cases for understanding 14:53 - 21:12 Use cases for writing 21:13 - 23:12 Using Readwise with NotebookLM 23:13 - 24:23 Limitations 24:24 - 25:23 Conclusion 25:24 - 25:47 Blooper