The Zhitong Finance App learned that Huajin Securities released a research report saying that on February 6, Kunlun World Wide officially released the new MoE language model “Tiangong 2.0” and the new “Tiangong AI Intelligent Assistant” app. In addition, Honor, Apple, Huawei, Xiaomi, and OV all have end-side AI layouts. IDC predicts that in 2024, the Chinese market will be equipped with more than 70% of AI-enabled terminals, and the proportion of AI terminals will reach 55%. Strong demand from the end side may catalyze the iterative development of large models. The bank believes that domestic multi-modal advancement, large-scale models and demand-side two-way empowerment will help improve content creation and ToC experience.

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Incident: On February 6, Beijing time, Kunlun World Wide officially released the new MoE language model “Tiangong 2.0” and the new “Tiangong AI Intelligent Assistant” app. This is the first 100 billion parameter large language model AI application in China that is equipped with the MoE architecture and is open to all C-end users free of charge. At the same time, “Tiangong 2.0” is also the largest version upgrade since Kunlun World Wide released the double 100 billion language model “Tiangong” in April last year. The domestic big model continues to promote iterative upgrading, deeply empowering content-side creation, improving productivity, and enriching content-side development.

The views of Huajin Securities are as follows:

“Tiangong” meets qualitative changes and updates, and AI is fully upgraded.

As Kunlun World Wide's largest version upgrade since the release of the billion-level billion-level language model “Tiangong” in April last year, “Tiangong 2.0” uses the industry's top MoE expert hybrid model architecture, which is more capable of dealing with complex tasks, faster model response, higher training and reasoning efficiency, and greater scalability. This update has fully upgraded the response quality and response speed of AI search, conversation, reading, and creation. It is equipped with powerful multi-modal capabilities, supports multi-modal applications such as graphic dialogue and literary charts, supports ultra-long context windows of up to 100K (more than 150,000 Chinese characters), and adds many new gameplay methods such as AI drawing, data analysis, AI companion, AI fortune telling, and hot-tip encyclopedia, making AI smarter, more practical, and more fun. Integrating AI into everyday life so that technology can better empower the ToC side is expected to empower smart life and catalyze the development of AI towards the end side.

Domestic AI models continue to iterate, catalyze the technology side, and deeply empower ToC content creation.

At the end of last month, iFLYTEK held a press conference to upgrade the Spark Cognitive Model V3.5 and officially unveiled the iFLY Spark V3.5 based on the first national production computing power training. It has comprehensively improved its seven core competencies, surpassed GPT-4 Turbo in terms of mathematics, language understanding, and voice interaction ability, and reached 96% GPT-4 Turbo in terms of coding, and reached 91% of GPT-4V in multi-modal understanding. Big Model is committed to using technological progress to solve the immediate needs of the real world and better empower content-side development.

The downside of AI is gradually becoming a trend, and demand catalyzes an increase in the computing power of large models.

At the end of last month, China's Samsung and Baidu Smart Cloud officially formed an AI ecosystem strategic partnership and announced that the latest S24 series phones will be equipped with Galaxy AI models. The Bank of China version deeply integrates many capabilities of Baidu Wenxin's big model, and has also reached technical cooperation with domestic companies such as WPS and Meitu to integrate and empower end-side AI. In addition, Honor, Apple, Huawei, Xiaomi, and OV all have end-side AI layouts. IDC predicts that in 2024, the Chinese market will be equipped with more than 70% of AI-enabled terminals, and the proportion of AI terminals will reach 55%. Strong demand from the end side may catalyze the iterative development of large models.

Risk warning: policy uncertainty, AI technology implementation falling short of expectations, potential copyright licensing disputes, etc.