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,

In recent years, training large language models (LLMs) has become increasingly expensive and complex, with only a few major tech companies possessing the necessary computing resources. However, Google has recently introduced a new method called SALT (Small Model-Assisted Large Model Training), which could fundamentally change the landscape of AI training. Image Source Note: The image was generated by AI, and the image is authorized by service provider Midjourney based on the latest research papers from Google Research and DeepMind, 'A Little Help Goes a Long Way: Leveraging Small Language Models...'

In the turbulent field of artificial intelligence in 2024, there have been revolutionary breakthroughs in large model technology. With the emergence of OpenAI's Sora and the launch of significant products by several tech giants, not only has the market monopoly of GPT-4 been broken, but there have also been dual breakthroughs in performance and pricing. This year, competition in the AI sector has been exceptionally fierce, with 18 companies intensively releasing over 70 models, including outstanding works that surpass the performance of GPT-4. Google's Gemini 1.5 Pro stands out with its groundbreaking capabilities in long-text processing and video understanding.

AliCloud and leading large model enterprise Zero One Technology have announced an important strategic cooperation to jointly establish the "Industrial Large Model Joint Laboratory," marking deep collaboration between two tech giants in the field of AI. This cooperation will accelerate the transformation of large model technology into practical application scenarios and promote further integration of the industrial large model ecosystem. The newly established joint laboratory will cover three core areas: technology, business, and talent. By integrating the R&D advantages of both parties in the field of large models, the laboratory will focus on exploring next-generation foundational model technologies and will utilize AliCloud's capabilities.

Recently, the domestic large model DeepSeek V3 has drawn industry attention due to its outstanding performance in the AI arena. As the only open-source model to break into the top ten, it not only surpassed o1-mini but even exceeded Claude 3.5 Sonnet in various fields, including programming and mathematics. To verify its actual capabilities, a series of comparative tests were conducted. In the basic comprehension ability test, both models exhibited different characteristics. Faced with the Chinese riddle 'Xiaoming's mother has three children', DeepSeek V3 performed...

In the realm of AI visual creation, the MOKI short film tool has recently announced its latest upgrade, introducing the highly anticipated membership features and integrating two major models, VIDU and Keling AI, further enriching the creation experience for creators. This update not only retains the original Meitu Qixiang large model but also provides customized optimizations for animation scenes, motion effects, and controllability through the newly added VIDU and Keling AI large models to meet the diverse needs of different creators.

Recently, scientists at Sakana AI have made groundbreaking advancements in the field of artificial intelligence, successfully utilizing vision-language foundation models (FMs) for the first time to achieve automated searching for simulations of artificial life (ALife). This project is called ASAL (Automated Search for Artificial Life).

Today, in response to rumors that ByteDance might initiate a price war for large models, Douyin Vice President Li Liang issued a statement on social media, clearly stating that this is not a price war. Li Liang pointed out that the Doubao large model has reduced costs through technological innovation, with significant optimizations in algorithms, software engineering, and hardware solutions. He mentioned that the pricing of 0.3 yuan per 1,000 tokens not only has a considerable gross profit but also follows a transparent pricing strategy, which is not the traditional 'list price discount' model.

On December 18, 2024, ZhiYuan Research Institute signed a strategic cooperation agreement with Tencent Group, aiming for in-depth collaboration in several areas, including large model research and development, exploration of cutting-edge artificial intelligence technologies, and open-source ecosystem construction. According to the cooperation agreement, ZhiYuan Research Institute and Tencent will leverage their respective strengths to promote the deep integration of large model technology and industrial scenarios, and explore technological solutions for large model training and inference optimization in diverse computing environments. Both parties are also committed to building an open and innovative hardware and software ecosystem to foster the development and application of technologies.