In this lab, Mahi from Google DeepMind will show you how to use NotebookLM to synthesize information from multimodal inputs, such as text and videos. You'll start by uploading a collection of sources and generate useful summaries in the format that you prefer. NotebookLM is useful for when you need to synthesize information from multiple sources such as text, video, and audio into concise summaries with linked citations.

What you'll gain:

• Faster synthesis : Quickly understand the key points from a large set of mixed-media documents

• Grounded knowledge : Get reliable answers and insights drawn exclusively from your sources

• Flexible outputs : Transform your sources into easy-to-understand summaries in different formats that match your audience’s preferences.

Apply what you learn:

In the lab, we’ll demonstrate how to synthesize research about design and color theory. However, you’ll get the most out of this lab when you apply these techniques to your own work. As you follow along, think about how you could use NotebookLM to better understand information about your industry or project so you can take action faster.

Let's get ready to synthesize information more effectively!

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