中新网北京4月24日电 (记者 刘文文) 在北京举行的活动中，腾讯集团高级执行副总裁、云与智慧产业事业群CEO汤道生就大模型的产业应用发表重要观点，他认为，将大模型“上车”，即推进其在实际产业中的应用，必须遵循技术发展的内在规律，同时保持热情，也要有足够的耐心。
汤道生指出，人工智能（AI）大模型作为新兴技术的代表，其在产业中的落地不是一蹴而就的过程。他强调，尽管大模型在理论和实验室环境中展现出巨大的潜力，但在实际产业实践中，还需要面对诸多挑战和调试。因此，既要对新技术充满热情，积极推动，也要对可能出现的困难和周期有足够的耐心。
他提出，产业实践是检验和磨炼AI大模型等新技术的最好平台，只有在实践中不断试错、迭代，才能真正挖掘出大模型的潜力，使其在提升产业效率、优化业务流程等方面发挥重要作用。汤道生的这一观点，无疑为业界提供了关于如何正确对待和应用新技术的思考方向。
此外，汤道生还呼吁业界各方，包括技术研发者、企业和政策制定者，共同构建一个鼓励创新、包容失败的环境，以推动大模型等前沿技术在产业中的健康发展。
此次活动，汤道生的发言彰显了腾讯在AI技术应用上的审慎态度和长远视野，也为业界在探索大模型应用路径时提供了宝贵的指导。未来，随着技术的不断成熟和产业环境的优化，大模型有望在更多领域开花结果，为我国的数字化转型贡献力量。
英语如下：
**News Title:** “Tencent’s Tang Daosheng: Large Models’ Integration into Industries Requires Adherence to Technological Principles and Patience”
**Keywords:** Tencent, Large Models, Industrial Practice
**News Content:**
BEIJING, April 24 (Xinhua) – At an event in Beijing, Tencent Group’s Senior Executive Vice President and CEO of the Cloud & Smart Industries Group, Tang Daosheng, emphasized the importance of adhering to technological laws and maintaining patience and enthusiasm when applying large models in industries.
Tang pointed out that the integration of large AI models, as a representative of emerging technologies, is not an overnight process. He stressed that while these models demonstrate tremendous potential in theory and laboratory settings, they face numerous challenges and adjustments in practical industrial applications. Thus, it is crucial to embrace new technologies with passion while also being patient with potential difficulties and timelines.
He argued that industrial practice is the optimal platform for testing and refining AI large models. Only through continuous trial and error, and iteration in practice, can the true potential of these models be unlocked, significantly improving industrial efficiency and optimizing business processes. Tang’s perspective offers a guiding principle for the industry on the appropriate approach to adopting and applying new technologies.
Furthermore, Tang called on all stakeholders, including technology developers, enterprises, and policymakers, to collaborate in creating an environment that fosters innovation and包容s failure, thereby promoting the healthy development of frontier technologies like large models in industries.
Tang’s remarks at the event reflect Tencent’s cautious yet forward-thinking approach to AI technology application and provide valuable guidance for the industry in exploring the path for large model adoption. As technology matures and the industrial landscape improves, large models are expected to flourish in a broader range of sectors, contributing to China’s digital transformation.
【来源】http://www.chinanews.com/cj/2024/04-24/10205420.shtml
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