【北京，中国】创新奇智在近期的“奇智孔明工业大模型升级发布会暨大模型技术应用研讨活动”中，宣布了其工业大模型的最新突破，参数量级已超过750亿，标志着公司在人工智能领域的又一重大进展。此次发布的奇智孔明工业大模型2.0版本（AInno-75B）及一系列原生应用，旨在推动工业智能化的深化发展。
奇智孔明工业大模型2.0版本的升级，不仅在参数规模上创造了新纪录，更在功能上实现了显著提升。新模型强化了在工业知识问答、数据分析、代码生成和任务编排等核心领域的性能，同时，通过增强海量知识管理、复杂逻辑推理以及长流程任务编排的能力，进一步提升了其在复杂工业环境中的适应性和智能化水平。此外，模型还引入了Agent智能体技术，支持更多工业模态的生成，为实现更广泛、更精细的工业应用场景提供了可能。
创新奇智的这一创新举措，无疑将对工业4.0时代的生产效率和质量提升产生深远影响。通过大模型的先进技术，企业能够更高效地处理数据，优化生产流程，降低运营成本，同时，也为未来的智能制造提供了强大的工具和平台。公司表示，将持续致力于大模型的研发与应用，以创新驱动，赋能中国乃至全球的工业智能化转型。
本次活动吸引了来自工业界、学术界和媒体的广泛关注，与会者就大模型技术的应用前景和挑战进行了深入探讨，共同展望了人工智能在工业领域的广阔未来。
英语如下：
**News Title:** “Innovacene Launches AInnoMing 2.0: A 75 Billion Parameter Benchmark, Raising the Bar for Industrial Large Language Models”
**Keywords:** Innovacene, Industrial Large Language Models, Parameter Breakthrough
**News Content:**
**Beijing, China** – Innovacene recently unveiled a major breakthrough in its industrial large language model at the “AInnoMing Industrial Large Model Upgrade Release and Large Model Technology Application Seminar.” The company announced that its model now exceeds 75 billion parameters, signifying another significant stride in the realm of artificial intelligence.
The AInnoMing 2.0 Industrial Large Model (AInno-75B) and its suite of native applications aim to deepen the progression of industrial intelligence. This update not only sets a new record in parameter scale but also delivers substantial functional enhancements. The upgraded model strengthens performance in key areas such as industrial knowledge问答, data analysis, code generation, and task orchestration. It also enhances the management of vast knowledge, complex logical reasoning, and long流程 task coordination, thereby improving its adaptability and intelligence in intricate industrial environments. Furthermore, the integration of Agent intelligence technology supports the generation of more industrial modalities, paving the way for broader and more refined industrial applications.
Innovacene’s innovative move is set to have a profound impact on productivity and quality improvements in the Industry 4.0 era. By leveraging the advanced capabilities of large models, enterprises can process data more efficiently, optimize production workflows, and reduce operational costs. The company also expressed its commitment to continuous R&D and application of large models, driving innovation and empowering industrial digital transformation in China and globally.
The event drew extensive attention from industry, academia, and media, with participants engaging in in-depth discussions on the prospects and challenges of large model technology. Together, they envisioned the broad future of AI in the industrial landscape.
【来源】https://www.163.com/tech/article/IUA1FEGH00098IEO.html
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