Workflow
65%央企携手百度打造数字新动能

Group 1 - The 2025 Smart Economy Forum was held in Beijing, focusing on the theme of developing the smart economy and accelerating the construction of a digital China [2] - Over 300 guests from various sectors, including government departments and enterprises, attended the forum, emphasizing the deep integration of smart economy with the real economy [2] - Participants highlighted the importance of integrating artificial intelligence into various industries to stimulate digital vitality and promote high-quality economic development [2] Group 2 - Central enterprises are playing a crucial role in promoting the integration of digital and real economies, with 65% of central enterprises choosing to collaborate deeply with Baidu Smart Cloud [3] - Baidu Smart Cloud launched the Qianfan Huijin financial model, covering various sectors such as energy, transportation, and healthcare, to facilitate the large-scale application of artificial intelligence [3] - The "Smart Power Supply Solution System" developed in collaboration with State Grid has significantly improved work efficiency and consumer experience [3] Group 3 - Baidu Smart Cloud's Qianfan Huijin financial model has been developed based on extensive financial data, optimizing reasoning and knowledge enhancement algorithms [4] - The model offers two versions, 8B and 70B parameters, supporting up to 32K context input and has outperformed general-purpose models in various tasks [4] - The financial model enhances the service level and risk control capabilities of financial institutions by accurately identifying key elements of business processes [4] Group 4 - Baidu is increasing investments in domestic chips and self-developed platforms, with the Kunlun chip P800 achieving large-scale commercial use [5] - The Baidu Baike platform efficiently schedules and is compatible with various domestic chips, achieving over 95% utilization in training within a large cluster [5] - The company aims to build advanced AI infrastructure to support the industrialization of large models and unlock more value in various scenarios [6]