🤖🧠 LangExtract by Google: Transforming Unstructured Text into Structured Data with LLM Precision
🗓️ 27 Oct 2025
📚 AI News & Trends
In the world of data-driven decision-making, one of the biggest challenges lies in extracting meaningful insights from unstructured text — documents, reports, emails or articles that lack consistent structure. Manually organizing this information is both time-consuming and prone to errors. Enter LangExtract, an advanced Python library by Google that leverages Large Language Models (LLMs) like ...
#LangExtract #LLM #StructuredData #UnstructuredText #PythonLibrary #GoogleAI
🗓️ 27 Oct 2025
📚 AI News & Trends
In the world of data-driven decision-making, one of the biggest challenges lies in extracting meaningful insights from unstructured text — documents, reports, emails or articles that lack consistent structure. Manually organizing this information is both time-consuming and prone to errors. Enter LangExtract, an advanced Python library by Google that leverages Large Language Models (LLMs) like ...
#LangExtract #LLM #StructuredData #UnstructuredText #PythonLibrary #GoogleAI
✨ModelTables: A Corpus of Tables about Models
📝 Summary:
ModelTables is a new benchmark corpus of 90K structured performance and configuration tables about AI models, linking them to their context. Its evaluation for table search reveals a clear need for improved methods in understanding structured model knowledge.
🔹 Publication Date: Published on Dec 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.16106
• PDF: https://arxiv.org/pdf/2512.16106
• Github: https://github.com/RJMillerLab/ModelTables
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#AI #Datasets #MachineLearning #StructuredData #TableSearch
📝 Summary:
ModelTables is a new benchmark corpus of 90K structured performance and configuration tables about AI models, linking them to their context. Its evaluation for table search reveals a clear need for improved methods in understanding structured model knowledge.
🔹 Publication Date: Published on Dec 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.16106
• PDF: https://arxiv.org/pdf/2512.16106
• Github: https://github.com/RJMillerLab/ModelTables
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#AI #Datasets #MachineLearning #StructuredData #TableSearch
❤1