#搜索#PaddleNLP 2.0是飞桨生态的文本领域核心库，具备易用的文本领域API，多场景的应用示例、和高性能分布式训练三大特点，旨在提升开发者文本领域的开发效率，并提供基于飞桨2.0核心框架的NLP任务最佳实践。
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
#自然语言处理#A curated list of resources for Document Understanding (DU) topic
#自然语言处理#ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
#自然语言处理#ContextGem: Effortless LLM extraction from documents
#大语言模型#AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution acce...
#自然语言处理#ReadingBank: A Benchmark Dataset for Reading Order Detection
A collection of samples demonstrating techniques for processing documents with Azure AI including AI Foundry, OpenAI, Document Intelligence, etc.
The Doc Intelligence in-a-Box project leverages Azure AI Document Intelligence to extract data from PDF forms and store the data in a Azure Cosmos DB. This solution, part of the AI-in-a-Box framework ...
This sample demonstrates how to use Document Intelligence's Layout model to convert a PDF document, such as invoices, into Markdown, then use GPT-3.5 Turbo to extract structured JSON data using the Az...
#计算机科学#BoundaryNet - A Semi-Automatic Layout Annotation Tool
An experiment to provide the capabilities of Azure AI Document Intelligence Studio template training for feedback loop
A curated list of resources on Table Structure Recognition
Using Azure Document Intelligence and Azure OpenAI services to automatically extract data from invoices.
A collection of solutions that leverage Azure AI services.
This repository is a comprehensive collection of complete codes for lab files from the AI-102 course and other AI-related courses, consolidating resources from multiple Microsoft Learning repositories...
Azure Cognitive Search: Utilizando AI Search para indexação e consulta de Dados
