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Los modelos de lenguaje visual de código abierto Kimi-VL y Kimi-VL-Thinking han superado a GPT-4o en varias pruebas de referencia. Estos modelos representan un avance significativo en el campo de la inteligencia artificial, combinando la capacidad de procesamiento del lenguaje natural con la comprensión de imágenes.

El 25 de marzo de 2025, Google lanzó oficialmente su modelo de lenguaje grande de última generación, Gemini 2.5, una noticia que rápidamente generó un gran revuelo en el mundo de la tecnología. Como una importante actualización de la tecnología de IA de Google, Gemini 2.5 ha sido aclamado como el modelo más inteligente de la compañía hasta la fecha, gracias a su excepcional capacidad de razonamiento y sus características multimodales, marcando otro hito en el desarrollo de la inteligencia artificial. Gemini 2.5 Pro Experimental fue el primero en aparecer. Según el anuncio del blog oficial de Google, Ge...

In the field of artificial intelligence, ByteDance's commercial technology team presents the latest achievement, the Infinity model, which has become a new leader in the auto-regressive text-to-image generation domain with its outstanding performance and innovative technology. This newly open-sourced model not only surpasses Stable Diffusion 3 in image generation quality but also demonstrates significant advantages in inference speed. The core innovation of the Infinity model lies in its use of a Bitwise Token auto-regressive framework, which predicts the next level of resolution by +1 or -1.

Recently, research teams from several Chinese scientific institutions have launched the super large-scale multimodal dataset named Infinity-MM, and based on this dataset, they have trained an outstanding AI model called Aquila-VL-2B. This breakthrough injects new momentum into the development of multimodal AI. The Infinity-MM dataset is astonishing in size, containing four major types of data: 10 million image descriptions, 24.4 million general visual instruction data, 6 million selected high-quality instruction data, and 3 million generated by G

Zhiyuan Research Institute has launched a dataset called Infinity-Instruct, which comprises millions of instruction tuning data aimed at enhancing the performance of language models in dialogues and other areas. Recently, Infinity-Instruct has completed a new round of iterations, including the Infinity-Instruct-7M foundational instruction dataset and the Infinity-Instruct-Gen dialogue instruction dataset.

Kai-Fu Lee founded the startup Zero One Infinity, focusing on the development of large language models in China. The company released its first open-source model, Yi-34B, which has 34 billion training parameters. Zero One Infinity is valued at $1 billion and has received support from multiple investment institutions, experiencing rapid growth.