Google introduced a lot of big changes to NotebookLM last year, making the productivity tool even more useful. And it looks like the Mountain View tech giant also has some interesting NotebookLM features for this year. We’ve taken a quick look at some of the things it’s been working on when it launched new customization features for the NotebookLM mobile app.
A few days ago, we also learned how Google is working on a Personal Intelligence option in NotebookLM to allow the tool to learn from users’ chats and provide more acceptable responses to them. Additionally, Google has one more thing in store, namely more customizations for Infographics, which is one of NotebookLM’s best features.
A bold new customization style is in the works for NotebookLM Infographics
As first discovered by renowned leakster TestingCatalog, Google is testing nine customization styles for Infographics, including Sketch, Kawaii, Professional, Anime, 3D Clay, Editorial, Storyboard, Bento Grid, and Bricks. Visual styles will also include an “Auto-select” option, which will likely automatically select a style based on the content in the source.
Currently, Infographics in NotebookLM allow users to select language, orientation, level of detail, and enter commands to customize them. The styles above will add one more layer to Infographic customization. Summaries created from source files using Inforgraphics will adapt to the layout and visual tone based on your choices.
We can’t get this style because it’s not available to the public. But because it was leaked ahead of its official release, we get a glimpse at how each of these styles can impact the output produced by the Infographic, courtesy of TestingCatalog.
If you want your summary to look more like a handwritten visual, Sketch Notes could be the right choice for you. Select Bento Grid if you want the summary to give you a card-based overview of the information that appears in the source. The Storyboard option is probably the best choice when you need step-by-step clarity on a topic.
We’ll find out how well it works and whether this will impact the overall time it takes to produce output when the feature is ready for everyone to try. In the meantime, it’s worth learning tricks that can turn NotebookLM into a personal research assistant.
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