In the AI industry, Together AI recently announced the completion of a $305 million Series B funding round, which has garnered widespread attention. The company's rise is closely related to its newly launched deep reasoning model, DeepSeek-R1. Contrary to initial concerns, many industry experts believe that advancements in deep reasoning have not diminished the demand for infrastructure; rather, they are continuously enhancing this demand. Image source note: Image generated by AI, image licensed from service provider Midjourney since its establishment in 2023.

On February 17, the Opera team under Kunlun Wanwei integrated the DeepSeek R1 series models into Opera Developer, achieving local personalized deployment. This move marks a further expansion of Opera in the application of AI technology, providing users with more powerful local AI capabilities.

With the continuous development of artificial intelligence technology, the integration of visual and textual data has become a complex challenge. Traditional models often struggle to accurately parse structured visual documents such as tables, charts, infographics, and diagrams. This limitation impacts automated content extraction and comprehension capabilities, subsequently affecting applications in data analysis, information retrieval, and decision-making. In response to this demand, IBM recently released Granite-Vision-3.1-2B, a compact visual language model specifically designed for document understanding.

Recently, Hugging Face partnered with Physical Intelligence to launch 'Pi0' (Pi-Zero), the first foundational model that directly converts natural language commands into physical actions. This innovative release has garnered widespread attention, with Hugging Face's Chief Research Scientist Remi Cadene announcing on social media, 'Pi0 is the most advanced visual-language action model that can translate natural language commands into autonomous behaviors.'

Today, iFLYTEK officially launched its latest research and development achievement, the Starfire simultaneous translation voice model, marking the debut of the first domestic large model with end-to-end speech simultaneous translation capabilities. This innovative technology has significantly improved the translation performance across all scenes compared to iFLYTEK's previous translation technologies, and has greatly shortened the end-to-end response time.

Recently, Alibaba Damo Academy launched a multi-modal large language model named Valley 2, designed for e-commerce scenarios. It aims to enhance performance across various fields and expand the application boundaries of e-commerce and short video scenarios through a scalable vision-language architecture. Valley 2 utilizes Qwen 2.5 as its LLM backbone, paired with the SigLIP-384 visual encoder, incorporating MLP layers and convolution for efficient feature transformation.