targetedSummarization
MedCAT
| targetedSummarization | MedCAT | |
|---|---|---|
| 3 | 1 | |
| 87 | 411 | |
| - | 1.9% | |
| 1.8 | 8.5 | |
| over 1 year ago | 6 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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targetedSummarization
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Bing/ChatGPT browser can understand and summarize a 15-page PDF in seconds.
This is what I was thinking. I recently made a python library to do this because I wanted to see how well it worked when added to GPT3 (pretty well actually). Here's a link if you wanna check it out
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Targeted Summarization - A tool for information extraction
Here's the GitHub repo: https://github.com/helliun/targetedSummarization
Here's the GitHub repo
MedCAT
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[R] Foresight: Deep Generative Modelling of Patient Timelines using Electronic Health Records
You can find medcat here.
What are some alternatives?
openai-cookbook - Examples and guides for using the OpenAI API
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
AnnA_Anki_neuronal_Appendix - Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
PaddleNLP - 👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.