LLM_InformationRetrieval

extracting "structured" information that is embedded in natural language text on the web using iterative set expansion, spanBERT, and openAI API

scraping

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14 Stars

2 Forks

14 Watchers

Python Language

Cost to Build

$6.7K

Market Value

$7.8K

How is this calculated?

Growth over time

1 data points · 2025-04-10 → 2025-04-10

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What is the yaminivibha/LLM_InformationRetrieval GitHub project? Description: "extracting "structured" information that is embedded in natural language text on the web using iterative set expansion, spanBERT, and openAI API". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone LLM_InformationRetrieval

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git clone https://github.com/yaminivibha/LLM_InformationRetrieval.git

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[email protected]:yaminivibha/LLM_InformationRetrieval.git

Download ZIP

Download master.zip

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