DingTalk AI Corporate Search, launched in 2024, focuses on addressing the pain points of enterprise users related to information fragmentation and low retrieval efficiency. This tool leverages the understanding, reasoning, and generating capabilities of large models to integrate unstructured data such as chat logs, documents, knowledge bases, schedules, and logs into a structured knowledge network, improving search efficiency by 300% over traditional methods. By offering this free access, DingTalk aims to further assist enterprise users in building dynamic knowledge networks and optimizing workflows.

Recently, SuperMap Software announced on its interactive platform that it has successfully completed the integration and adaptation of the DeepSeek-V3 and R1 series large models. This development marks another breakthrough for SuperMap Software in the application of intelligent technology. As a result of this innovation, the SuperMap Copilot Beta version has officially been launched and made available to customers. This product not only fully demonstrates the powerful capabilities of large models but also possesses significant advantages in terms of 'diversity, speed, quality, and cost-effectiveness,' showcasing SuperMap Software's commitment to advancing smart production.

On Monday local time, Mistral unveiled a large model called Mistral Saba in Paris, which is specifically optimized for Arabic interaction capabilities. This innovative move is seen as a significant breakthrough in the European AI field. The success of Mistral Saba is closely related to its specially curated dataset. The model is trained using carefully selected language data from the Middle East and South Asia, enabling it to demonstrate higher accuracy and relevance in handling Arabic-related queries compared to other large general models.

On February 18th, Shanghai Mita Network Technology Co., Ltd. announced the launch of its latest research mode - 'Shallow Research'. This feature aims to quickly gather information and conduct preliminary analysis using AI technology, helping users obtain valuable research results in a short amount of time.

Recently, Tencent E-signature's official account announced the upcoming launch of an AI contract drafting feature. This innovative function will leverage Tencent's Hunyuan and DeepSeek large model technologies to provide users with a convenient one-click contract generation service.

Recently, Zhangyue Technology announced on its interactive platform that it is actively promoting the application of artificial intelligence large models in the vertical field of digital reading. With continuous technological advancements, Zhangyue Technology is leveraging its advantages in content copyright, creator ecosystem, and a large user base to deeply integrate leading domestic artificial intelligence large models with the company's business scenarios. Zhangyue Technology aims to enhance business efficiency and user experience by introducing and applying multiple large models, such as DeepSeek, Doubao, and other related technologies. The open-source characteristics of large models and

On February 11, 2025, at the World Governments Summit held in Dubai, UAE, Baidu founder Li Yanhong engaged in an in-depth dialogue with UAE AI Minister Omar Sultan Al Olama to explore future development trends in AI infrastructure. During the discussion, Al Olama mentioned the recent global attention towards DeepSeek, which caused significant fluctuations in the stock prices of several major chip manufacturers and exchanges, and asked Li Yanhong for his views on the future of data centers and AI infrastructure.

Recently, the World Government Summit (WGS) grandly opened in Dubai, UAE, attracting attention from elites around the globe. During the summit, Baidu founder Li Yanhong engaged in an in-depth dialogue with the UAE's AI minister to explore the latest development trends in the AI field. In the conversation, Li Yanhong specifically mentioned Baidu's innovative achievements in AI inference—DeepSeek. He stated that innovation is not limited to the AI field or the IT industry, but is widespread across various sectors, with the core of most innovations closely related to cost reduction.

Recently, the domestic large model DeepSeek has gone viral across the internet, becoming the focus of global tech markets due to its technological advantages of 'low cost and high performance.' Founder Liang Wenfeng mentioned that the team is primarily composed of graduates and doctoral students from domestic universities. The impressive innovative achievements indicate that today's China is becoming fertile ground for top talent and a source of original innovation. According to Qichacha data, as of February 6, there have been a total of 16,400 patent applications related to large models. In terms of application years, these patents have been predominantly filed in the last two years.

Recently, Alibaba has welcomed a heavyweight figure in the field of AI. According to industry insiders, a top global artificial intelligence scientist has officially joined Alibaba and will focus on the research and application of foundational large models for AI To C business in the future. This scientist has over 20 years of experience in both industry and academia, with significant achievements in the field of multimodal AI, having led the publication of over a hundred top papers on large models.

DeepSeek has officially released and open-sourced its latest large language model R1, which has shown outstanding performance and is considered comparable to OpenAI's official version o1. This initiative not only marks another significant breakthrough in domestic AI technology but also provides new options for AI developers worldwide. DeepSeek R1 has extensively applied reinforcement learning techniques in the post-training phase, significantly enhancing the model's reasoning capabilities even with minimal labeled data, in areas such as mathematics, coding, and natural language reasoning.

Recently, Zhejiang University and Alibaba DAMO Academy jointly released a remarkable study aimed at creating high-quality multimodal textbooks from educational videos. This innovative research not only provides new ideas for training large-scale language models (VLMs) but may also change the way educational resources are utilized. With the rapid development of artificial intelligence technology, the pre-training corpus of VLMs mainly relies on visual-text pairs and visually intertwined data. However, much of this current data comes from the web, where the correlation between text and images is weak, and the knowledge density is relatively low.

Recently, the AI company SBot announced the completion of a new round of financing, amounting to 500 million RMB. The participants in this round of financing include well-known industrial funds, state-owned platform investments, and various private equity funds. The infusion of this capital will further promote SBot's rapid development in smart terminals and industry applications. Image source note: The image generated by AI is authorized by the service provider Midjourney. It is understood that the success of this financing is mainly due to the company's scalable commercial capabilities in end-side application scenarios, as well as its advancements in large model human-computer dialogue technology.

In recent years, the programming capabilities of Artificial Intelligence (AI) have been continuously evolving, but they have not yet reached perfection. Recently, Max Woolf, a senior data scientist at BuzzFeed, discovered through experiments that if continuous prompts for 'writing better code' are provided to large language models (LLMs), AI can indeed generate higher quality code. This finding has garnered widespread attention, with renowned AI scientists emphasizing the importance of iteration and prompt design. In Woolf's experiment,