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Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Baidu officially releases the WENXIN Large Model 4.5 series and fully opens it to the public, featuring ten new models with various parameter configurations. These models are trained and inferred using the PaddlePaddle framework, achieving a FLOPs utilization rate of 47%, and perform well in multi-modal text tasks.

Recently, Baidu officially announced the open-source release of its WENXIN Large Model 4.5 series, launching a total of ten models, including mixed expert (MoE) models with 47B and 3B activated parameters, as well as dense models with 0.3B parameters. This open-source initiative not only fully publicizes the pre-trained weights but also provides inference code, marking a significant advancement for Baidu in the field of large models. These newly released models can be downloaded and deployed on platforms such as PaddlePaddle Starry Sky Community and Hugging Face. Additionally, Baidu Intelligent Cloud's Qianfan Large Model Platform also provides

Baidu's WENXIN series large models have recently been open-sourced on its PaddlePaddle platform, including dozens of latest models such as ERNIE-4.5-VL-424B-A47B-Paddle and ERNIE-4.5-300B-A47B-Paddle. Although Baidu has not actively disclosed this open-source initiative, updates on the PaddlePaddle platform show that these actions were concentrated between June 29th and June 30th, marking its latest move. A source within the company confirmed: official

Recently, at Baidu's AI Open Day, Wenxin Kaima, Baidu's intelligent code assistant, achieved a major breakthrough. Its standalone AI-native development environment tool, Comate AI IDE, was officially launched. This industry's first multimodal, multi-agent collaborative AI IDE not only introduces the groundbreaking feature of converting design drafts into code with one click, but also provides efficient, intelligent, and secure programming experiences for domestic enterprises and developers.

Silicon Valley investor Mary Meeker's latest released AI report reveals that the global AI competition landscape is experiencing profound reshaping. Chinese strength and open source wave are shaking up the ecosystem dominated by top companies like OpenAI, entering a new stage of 'contested supremacy'. The report points out that China's large language models are rapidly catching up with the U.S., with models such as DeepSeek, Alibaba Qwen, and Baidu Wenxin Yiyan showing excellent performance in core tasks such as code generation and mathematical reasoning.

Baidu's Create AI Developer Conference was grandly held in Beijing. At this highly anticipated technology event, Baidu officially released the Wenxin Quick Code 3.5 version and China's first multimodal AI programmer – the Wenxin Quick Code Comate Zulu intelligent agent, marking a new stage in the development of AI programming tools.

Baidu today officially announced that its latest creation, the Wenxin Large Model 4.5 Turbo, will be unveiled at the Create conference on April 25th. While the company remains tight-lipped about the model's specific parameters and functionalities, anticipation is high both inside and outside the industry. Details will be revealed at the conference.

Baidu's deep learning platform, PaddlePaddle, recently announced the official release of its new generation framework, PaddlePaddle 3.0. This release introduces five core technological innovations, including "dynamic and static unified automatic parallelism," aiming to effectively reduce the development and training costs of large models and support the infrastructure construction of the large model era. As the core infrastructure supporting large model training and inference tasks, PaddlePaddle 3.0 demonstrates excellent performance optimization. The framework already supports multiple mainstream large models, including Wenxin 4.5 and Wenxin X1, and through optimization...

Baidu's Wenxin Quick Code has announced the release of the Comate Zulu version and officially opened its public beta. This upgrade represents a significant breakthrough in intelligent programming, aiming to provide developers with a more efficient and intelligent programming experience by leveraging the powerful capabilities of the Wenxin large model, combined with Baidu's years of accumulated programming big data and excellent external open-source data.

Baidu is preparing to release its next-generation AI model, Wenxin 4.5, expected to launch in mid-March. Internal sources suggest significant improvements in core areas such as reasoning, marking another major advancement in Baidu's AI technology.

Today, Baidu App announced a major update, officially launching a completely new AI entry, and deeply integrating the Wenxin large model with the capabilities of DeepSeek to provide users with an upgraded experience. The core highlights of this upgrade include the integration of several cutting-edge intelligent features, such as 'AI Search', 'Web Information Refinement', 'Squeeze AI Summary', and 'Digital Human Intelligence'. These features enable the Baidu App to better understand user needs and offer more personalized search results.

Baidu's Wenxin Intelligent Agent Platform has announced full integration with the DeepSeek model, now available for free to all users. The Wenxin Intelligent Agent Platform, launched by Baidu, is a platform for building intelligent agents based on the Wenxin large model, aimed at helping users quickly create and deploy intelligent agent applications.

Today, Baidu's Xiaodu officially announced its integration with DeepSeek. Previously, Baidu Maps, Baidu Search, Baidu Apollo Smart Cabin Model, Wenxin Yiyan, and Wenxiaoyan App have successively integrated with DeepSeek.

Recently, Baidu founder Li Yanhong elaborated on the reasons behind the company's decision to open source the Wenxin large model 4.5 series during Baidu's Q4 2024 and full-year earnings call. Li emphasized that Baidu gained valuable insights from the DeepSeek project, namely that open sourcing the best models can significantly promote user adoption and recognition. He explained that when a model is open sourced, people's curiosity drives them to experiment, and this natural exploratory behavior helps the model be more widely applied in real-world scenarios.

According to a message released by the 'Baidu Search' public account on February 16, Baidu Search and the Wenxin Smart Agent platform will integrate DeepSeek and the deep search capabilities of the Wenxin large model to provide users with a higher quality search experience. The DeepSeek deep search function officially launched on February 13, featuring powerful planning and tool-calling capabilities. This new functionality aims to provide users with expert-level content responses and can handle multi-scenario task requirements, including support for multi-modal inputs and outputs. This means that users not only can...