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The Baidu Wenku App has launched a new 'AI Examination Guide' aimed at providing efficient learning and exam preparation support for graduate school candidates during the final stages. The platform utilizes artificial intelligence technology to help students enhance their review efficiency and exam scores during this crucial period through a series of innovative tools.

Summary: PDFtoChat is an innovative AI-based PDF reading tool that allows users to extract information from PDF documents through conversation. This article provides a detailed review of PDFtoChat's functionality, performance, usability, and target audience, while discussing its pros and cons. Core Features and Characteristics: The core of PDFtoChat lies in its unique conversational interaction mode. Users don't need to painstakingly read word by word; they simply ask questions, and the AI provides accurate answers based on the content of the uploaded PDF document.

With the arrival of the new school season, DingTalk has launched an upgraded 'New Student Enrollment Plan' aimed at reducing management burdens and increasing efficiency in schools through intelligent solutions, creating a smart and harmonious educational environment. This plan covers key aspects such as new student enrollment, class division, and graduation information management, providing a one-stop service to facilitate seamless connections between schools and families.

SenseTime Technology has collaborated with the Construction Society to launch the 'Regulations and Standards Knowledge Model for the Construction Sector', based on the 'SenseNova5.5' framework. This model integrates industry standards, laws, design, and process specifications, aiming to provide intelligent and professional knowledge support for various stages of construction. The model has been applied in the knowledge service platform for regulations and standards in housing and urban-rural construction, featuring functions such as intelligent Q&A, integration, duplication check, and comparison to enhance knowledge retrieval efficiency. Trained on high-quality construction knowledge data of 600 million tokens, the model covers 8,000 industry-specific books.