At the 2024 Baidu World Conference held at the Shanghai Expo Center, Li Yanhong, founder, chairman, and CEO of Baidu, announced an impressive achievement: the daily call volume of the Wenxin large model has exceeded 1.5 billion, a figure that has grown by more than 7.5 times in the past six months.

According to insider sources, Baidu is set to unveil a new smart glasses product at the Baidu World Conference in Shanghai next week. These glasses will feature a built-in camera for capturing photos and videos, and will provide voice interaction capabilities based on Baidu's Wenxin large model. In the wave of global AI commercialization, 2024 has already seen the birth of multiple AI hardware products. While Humane's Ai Pin has not performed well, Microsoft's Copilot+ PC series has gained market recognition. Notably, Meta is collaborating with Ray-Ban's manufacturer.

On October 30, Mianbi Intelligence announced a strategic partnership with Baidu Intelligent Cloud, aiming to jointly develop collaborative solutions for large models. According to the partnership agreement, the two parties will leverage Baidu Intelligent Cloud's Qianfan Large Model Platform, Wenxin series large models, as well as Mianbi's MiniCPM series edge large models and cutting-edge technology accumulation across multiple terminals and different scenarios, to collaboratively develop and promote edge-cloud collaborative technology solutions that further enhance the performance of large models in practical applications such as embodied intelligence, smart terminals, and edge computing, while reducing the inference costs of large models.

At the iFLYTEK Global 1024 Developer Festival held on October 24, iFLYTEK showcased the iFLYTEK Sparks 4.0 Turbo model. This upgraded AI model surpasses its predecessors in several capabilities, even outperforming the industry-leading GPT-4 Turbo in certain aspects. Specifically, the iFLYTEK Sparks 4.0 Turbo excels in mathematics and programming, achieving a 50% overall efficiency improvement. In mathematics, iFLYTEK Sparks 4.0 Turbo has successfully completed complex algorithm validations.

On October 22, Baidu released the top ten frontier technology inventions of 2024 in Beijing, highlighting multiple innovative native applications of artificial intelligence and high-value patent outcomes. Among these frontier technological inventions, 'large models' emerged as a prominent keyword, showcasing Baidu's in-depth research and application in this field.

Recently, Baido Intelligent Cloud officially launched the Visual Large Model Platform v4.5. This upgrade not only brings revolutionary changes to the industrial sector but also provides efficient visual intelligence solutions in various fields such as safety production, restaurant chain management, and factory workshop operations. The upgrade of the Baido Intelligent Cloud Visual Large Model Platform is based on breakthroughs in large model technology, addressing 95% of visual-related demands that were unmet in the era of small models. In scenarios such as mining, restaurant chains, and factory workshops, AI video analysis has been utilized to achieve safety management.

Recently, Zhipu AI announced that the video call API: GLM-4-Plus-VideoCall is now open for applications on the platform. This API is based on the model behind Qingyan video calls, capable of enabling video calls and multi-turn voice interaction across modalities, and is expected to become a new paradigm pushing the innovation of human-computer interaction.

Today, ByteDance's Volcano Engine announced that the Doubao Large Model will release a video generation model on September 24, bringing upgrades to more capabilities in the model family. It is understood that the Doubao Large Model was officially launched at the Volcano Engine Original Power Conference on May 15, 2024.

Mistral AI has launched Pixtral12B, the first open-source multimodal model with 12 billion parameters, capable of processing both images and text. At 23.64GB, it's lightweight and offers easy access to model weights, reducing energy consumption and deployment barriers. It outperforms several established multimodal models in benchmark tests, driving a wave of open-source innovation in AI.....

ByteDance is secretly preparing to establish a Large Model Research Institute to strengthen its position in AI large models. The institute has attracted top talents from the industry, including Qin Yujia and Huang Wenhao, who will manage technology projects and report directly to founder Zhang Yiming. This move indicates ByteDance's long-term plans and proactive strategies in AI model R&D, aiming to leverage external expertise for technological a....

Tencent Youtu Lab and Shanghai Jiao Tong University released a comprehensive review focusing on dataset evaluation and selection for instruction tuning to enhance large model performance. The study aims to help large models grasp the essence of natural language processing by analyzing data quality, diversity, and importance to guide the construction of efficient and critical datasets. It highlights that data quality directly impacts tuning effect....

The Sinan OpenCompass team at the Shanghai Artificial Intelligence Laboratory has collaborated with the Modao ModelScope to launch the Compass Multi-Modal Arena, a new section of a large model evaluation platform focusing on multi-modal large models. Users can upload images and input questions to have two anonymous multi-modal large models generate answers, which can then be subjectively evaluated based on the quality of the generated content, allowing users to select the better-performing model. The platform offers an easy-to-use interface and a unique question bank.

Alibaba Cloud announced the AI transformation of its domain product services at the Wanwang Renewal Launch Conference and introduced the first domain AI application based on the Tongyi large model. Users can now generate creative domain names with one click by entering brand information and industry. The AI will perform semantic analysis, evaluate the meaning of the domain, and filter available options.

The Economist article highlights the 'data wall' challenge faced by AI companies due to the depletion of high-quality internet data, predicting that by 2028, all quality text data will be exhausted, hindering machine learning progress. Professor Stuart Russell from UC Berkeley warned that AI like ChatGPT could deplete textual content in the universe. However, Stanford's Professor Fei-Fei Li asserts that there is still a wealth of diverse data ava....