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research-paper-2024.pdf — NotebookLM
Your notebooks
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Research Paper
24 pages
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Q3 Report
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Survey Data
NotebookLM
I've read your research paper. It covers transformer architectures for NLP. What would you like to know?
What were the key findings on attention mechanisms?
NotebookLM
The paper found that multi-head self-attention with 12 heads outperformed single-head by 14.3% on BLEU score p.7
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Features

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Grounded answers

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Auto summaries

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Team notebooks

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Semantic search

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Private by default

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How it works

Three steps to document clarity

01

Upload your document

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02

Ask your questions

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03

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Pricing

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  • 3 notebooks
  • 50 MB storage
  • 100 questions/month
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FAQ

Common questions

What file types are supported?⌄
We support PDF, DOCX, TXT, CSV, XLSX, EPUB, and HTML files. Max file size is 50 MB on the free plan and 200 MB on Pro and above.
Is my data private and secure?⌄
Absolutely. All documents are encrypted at rest and in transit. We never use your documents to train AI models, and you can delete them at any time.
How accurate are the answers?⌄
Answers are grounded strictly in your uploaded documents with page-level citations. The system will not answer questions it cannot find evidence for, reducing hallucinations.
Can I use this via API?⌄
Yes — API access is available on the Team plan. You can programmatically upload documents and query them, making it easy to integrate into your existing workflows.
Do you offer a student discount?⌄
Yes! Students with a valid .edu email get 60% off the Pro plan. Just sign up and verify your email.

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