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ідея - Automated Information Extraction
Automated Extraction of Deep Learning Methodological Details from Biodiversity Publications Using Multiple Large Language Models
This study introduces a novel approach using multiple large language models (LLMs) and Retrieval-Augmented Generation (RAG) to automatically extract and categorize deep learning (DL) methodological information from biodiversity publications, addressing the challenge of limited transparency and reproducibility in scientific literature.
Revolutionizing Document Indexing with GPT and Donut Models
The authors introduce a groundbreaking approach to automate information extraction from documents using cutting-edge AI models, achieving remarkable accuracy. This method represents a significant advancement in document indexing, showcasing the potential of AI to streamline information extraction tasks.
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