Sou Hu Cai Jing·2025-10-28 05:26Core Insights - The 2025 World Forum on Science and Technology Development opened in Beijing, highlighting the role of deep learning technology in AI-driven industrial digital transformation [1] - Deep learning is identified as a key technology that has significantly advanced AI capabilities, providing a foundation for the emergence of large models [1][2] Deep Learning Platform - The deep learning platform connects hardware (chips) with large models and applications, essential for AI development, training, inference deployment, and industrial implementation [2] - Baidu's PaddlePaddle serves as an industry-grade open-source deep learning platform, supporting the evolution of the Wenxin large model through a comprehensive framework, model library, and development tools [2][3] - PaddlePaddle has adapted to over 60 chip series and created more than 1.1 million models, showcasing its extensive capabilities [3] Model Performance and Optimization - The collaboration between PaddlePaddle and Wenxin has led to significant performance improvements, including a 47% increase in pre-training MFU for the ERNIE-4.5-300B-A47B model [3] - The model achieves high throughput performance, processing 57K tokens per second for input and 29K tokens per second for output under specific latency conditions [3] Industry Applications - The Wenxin large model has been recognized for its performance in various benchmarks, ranking first in domestic evaluations for multimodal and precise instruction-following tasks [4] - Baidu's deep learning platform is crucial for maximizing the impact of large models across industries, enhancing efficiency and decision-making capabilities [4] Specific Use Cases - In smart manufacturing, CRRC Group utilized PaddlePaddle to reduce high-speed train design simulation time from days to seconds [5] - In smart healthcare, AI optimizes patient experience and doctor efficiency through various stages of medical processes [5] - In smart energy, Baidu's technology has enabled comprehensive monitoring and intelligent decision-making for over 600 plants and 90 sections in the Guangxi power grid [5] Digital Human Technology - Baidu's digital human technology integrates multiple innovative techniques, resulting in highly interactive and realistic digital personas [6] - The commercial value of digital humans is evident, with over 100,000 digital anchors created, achieving a 31% increase in live streaming conversion rates and an 80% reduction in broadcasting costs [6] - The application of digital humans has outperformed real individuals in online performance, setting new records in sales during live broadcasts [6] Developer Engagement - The number of developers using PaddlePaddle and Wenxin has surpassed 23.33 million, serving over 760,000 enterprises [6]