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File: 1776508978703.jpg (96.68 KB, 1080x720, img_1776508970437_8tmwmpbm.jpg)ImgOps Exif Google Yandex

491b3 No.1502

i stumbled upon this new setup called notbooklm paired with the latest gemini 1\.5 pro version and its seriously transforming how i handle data synthesis. before, my workflow was clunky - importing tons of info from various sources into notebooks then trying to piece everything together manually.

with notebooklm though? you can just drop in your csvs or json files directly [codedrag-and-drop interface[/code]]! once its all loaded up on the platform. bang - youve got a unified dataset ready for analysis. and get this: gemini does more than spit out random text - it actually understands context now, making smart connections between different pieces of data.

so heres my take:
- is there anything better handling heterogenous datasets?
anyone else diving into these tools? share your experience!

link: https://dzone.com/articles/architecting-the-future-of-research-a-technical-de

491b3 No.1503

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>>1502
notebooks & lms can transform research workflow but dont underestimate setting them up properly ⚠



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