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Recently, Tencent Cloud officially launched the API service for the Tencent Hunyuan A13B model on its official website. The input price is set at 0.5 yuan per million Tokens, and the output price is 2 yuan per million Tokens, which has quickly sparked enthusiastic discussions in the developer community. As the first 13B-level MoE (Mixture of Experts) open-source hybrid inference model in the industry, Hunyuan-A13B features a total of 80B parameters and only 13B activated parameters, achieving performance comparable to leading open-source models of the same architecture, while also demonstrating efficient reasoning capabilities.

Tencent open-sourced 'Hunyuan-A13B', an 80B-parameter MoE model with dynamic inference (130B active params). Supports 256K context, trained on 20T tokens. Achieves 87.3% on AIME2024 math, but comparisons show version disparities.....

Bilibili focuses on video podcasting, launching 'Project H' AI tool for audio-to-video conversion. Support includes traffic boost, free recording spaces, and AI tools. The tool converts 1k words to video in 6 mins (target: 3 mins), with positive test feedback.....

B站开源AniSora V3动漫视频生成模型，提升质量与流畅度，支持多种风格。基于CogVideoX-5B/Wan2.1-14B，优化时空掩码，新增华为NPU加速20%。扩展千万片段数据集，增强多任务处理，达到顶尖角色一致性。....

Recently, a former OpenAI researcher's remarks have sparked widespread attention. He stated that although Meta claimed to offer up to $100 million in signing bonuses when poaching research talent from OpenAI, he and his colleagues did not receive this bonus. This news has undoubtedly raised questions about Meta's hiring practices. Image source note: The image was generated by AI, and the image licensing service provider is Midjourney. This researcher is named Lucas Beyer, and he and his colleague are'

On June 30, Huawei officially announced the open sourcing of the Pangu dense model with 7 billion parameters, the PanguPro MoE model with 72 billion parameters, and the model inference technology based on Ascend. This open-source initiative is a key step in Huawei's strategy to build an Ascend ecosystem, aiming to promote research and innovation in large model technology, accelerate the application of artificial intelligence across industries, and create value.

Welcome to AIbase's [AI Daily Report]! Spend three minutes every day to learn about the latest AI news, helping you understand AI industry trends and innovative AI product applications. For more AI updates, visit: https://www.aibase.com/zh1. Tencent open-sources the lightweight Huyuan-A13B model, which can be deployed with just one mid-range GPU card. Tencent has released a new member of the Huyuan large model family, the Huyuan-A13B model, which uses a mixture of experts (MoE) architecture, with a total parameter scale of 80 billion and an activated parameter count of 13 billion, large

Tencent officially launched and open-sourced a new member of the Hypermix large model family - the Hypermix-A13B model. The model adopts an expert mixture (MoE) architecture, with a total parameter scale of 80 billion and an activated parameter count of 13 billion. It maintains the performance of top-tier open-source models while significantly reducing inference latency and computational costs, providing a more cost-effective AI solution for individual developers and small and medium-sized enterprises.

In recent years, the entrepreneurship trend has intensified, especially under the impact of the pandemic, many people have begun to re-examine their career development. In this context, Henrik Werdelin founded a startup studio called Audos, aiming to use artificial intelligence technology to help ordinary people realize their entrepreneurial dreams. His goal is to incubate 100,000 new companies per year, rather than just dozens as in his previous experience with Prehype. Audos is based in New York, and Werdelin is working with his partner Nic

Andy Konwinski, a computer scientist and co-founder of Databricks and Perplexity, announced that he will invest $100 million to establish a new research fund to support researchers in the field of artificial intelligence (AI). The new fund has already received support from Ion Stoica's new lab, marking Konwinski's emphasis and investment in AI research. Andy Konwinski on Monday

In a recent episode of a podcast, OpenAI CEO Sam Altman revealed that Meta CEO Mark Zuckerberg had once offered top AI researchers from OpenAI and Google's DeepMind more than $100 million in enticing compensation packages to build a new superintelligence team. However, Sam Altman stated that these recruitment attempts largely failed, as OpenAI's excellent talent pool did not accept the high offers.