neuml/annotateai
A tool that uses LLMs to read scientific papers, identify key concepts, and generate contextual annotations for human readers.
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This project leverages large language models to automatically annotate scientific papers by extracting titles, identifying important key concepts, locating relevant sections that emphasize those concepts, and generating concise topic annotations. The system processes each page of a paper, highlights meaningful sections, and provides readers with contextual information as they read through academic literature.
Frequently asked
- What is neuml/annotateai?
- A tool that uses LLMs to read scientific papers, identify key concepts, and generate contextual annotations for human readers.
- Is annotateai open source?
- Yes — neuml/annotateai is open source, released under the Apache-2.0 license.
- What language is annotateai written in?
- neuml/annotateai is primarily written in Python.
- How popular is annotateai?
- neuml/annotateai has 417 stars on GitHub.
- Where can I find annotateai?
- neuml/annotateai is on GitHub at https://github.com/neuml/annotateai.