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At one of the leading conferences in the computer vision field, CVPR2025, Tencent announced the open source release of the Hunyuan 3D 2.1 model. This is the first fully open source industrial-grade 3D generation model, leading in the industry. The downloads of the Hunyuan 3D model on the well-known open-source community and technology platform Hugging Face have exceeded 1.8 million, recognized by developers worldwide. This upgraded Hunyuan 3D 2.1 model shows significant improvements in effect; after uploading a jewelry box image, the generated 3D jewelry box has clear texture, delicate quality, and lifelike lighting effects.

Recently, Sam Altman, CEO of OpenAI, announced on social platform X that the open source model originally scheduled for release in early summer will now be delayed until late summer. This news came as a surprise to industry insiders who were all looking forward to the launch. However, Altman explained that this delay was due to some "unexpected and quite impressive" achievements made by the team during the R&D process. In his post, Altman mentioned that OpenAI wants to spend more time on the weights of the open source model to ensure the best possible outcome.

Significant progress has been made in the field of AI voice technology as Fish Audio announces the open sourcing of its new Text-to-Speech (TTS) model, OpenAudio S1-Mini. As a streamlined version of the highly-acclaimed S1 model, S1-Mini has triggered industry discussions due to its lightweight design, high expressiveness, and multi-language support. Key Features: Lightweight and High Performance OpenAudio S1-Mini is a lightweight version distilled from the 4B-parameter S1 model, containing only 0.5B parameters.

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.

Recently, AIbase obtained the latest information from social media platforms and learned about Shisa.AI, a HuggingFace model provider specializing in Japanese fine-tuning. Its newly released bilingual Japanese-English model has attracted significant attention in the industry. This article will provide you with an in-depth analysis of Shisa.AI's latest achievements and its breakthrough advancements in the field of Japanese AI. Shisa V2405B: The birth of Japan's strongest open source model According to AIbase's understanding, Shisa.AI has recently released a Llama3.1-based S

Recently, the MiMo-VL multi-modal model developed by Xiaomi Company has taken over the baton from MiMo-7B, showcasing powerful capabilities in multiple fields. The model significantly outperforms the same-size benchmark multi-modal model Qwen2.5-VL-7B in tasks such as general question answering and understanding inference for images, videos, and language, and its performance in GUI Grounding tasks is comparable to that of specialized models, preparing for the arrival of the Agent era.

Recently, Google officially released the open source framework LMEval, aimed at providing standardized evaluation tools for large language models (LLMs) and multimodal models. The launch of this framework not only simplifies cross-platform model performance comparisons, but also supports assessments in areas such as text, images, and code, showcasing Google's latest breakthroughs in the field of AI evaluations. AIbase has compiled the latest developments of LMEval and its impact on the AI industry. Standardized Evaluations: Simplified Cross-Platform Model Comparisons

The global leader in open-source solutions, Red Hat, recently announced the launch of the revolutionary open-source project LLM-D, specifically addressing the urgent needs for large-scale inference in generative AI. The project, founded by industry giants such as CoreWeave, Google Cloud, IBM Research, and NVIDIA, aims to meet the most stringent production service-level goals through breakthrough technologies that enable cloud-based large language model inferencing.

The Baidu Paddle team officially released version 3.0 of PaddleOCR and open-sourced it. This new version has made significant progress in text recognition accuracy, multilingual support, handwriting recognition, and high-precision document parsing, further enhancing PaddleOCR's technological strength and application value in the OCR field. Since its release, PaddleOCR, with its frontier academic algorithms and industrial implementation practices, has been loved by academia, industry, and research sectors, and is widely used in many well-known open-source projects. This release of PaddleO...