DeepSeek, a leading Chinese artificial intelligence company, has introduced VL-2, a new vision-language AI model that combines power and efficiency. This model leverages a Mixture of Experts (MoE) architecture, which activates only the necessary sub-networks for specific tasks, optimizing computational resource usage.
VL-2 excels in tasks that require deep integration between images and text. It has demonstrated outstanding capabilities in converting flowcharts into code, analyzing food images, and interpreting visual humor. The MoE approach divides the model into specialized sub-networks, allowing it to reduce computational overhead while maintaining high accuracy.
DeepSeek offers multiple versions of VL-2 with varying computational complexity. The smallest version, VL-2 Tiny, operates with 1 billion parameters during inference, while the Small and Large variants utilize 2.8 billion and 4.5 billion parameters, respectively. The VL-2 Small model is currently available for testing on Hugging Face.
VL-2 has practical applications in healthcare, education, and data analytics. It can automate complex workflows, enhance user experiences, and address real-world challenges. For example, in healthcare, the model can analyze medical images for disease diagnosis, while in education, it can assist students in understanding visual concepts and structured information.