Posts tagged Vision-Language Models

DeepSeek-VL2: A Powerful Vision-Language Model for Multimodal Understanding

This blog post dives into the exciting advancements of DeepSeek-VL2, a new series of open-source Vision-Language Models (VLMs). We’ll explore its architecture, training methodology, and impressive performance across diverse multimodal tasks, including visual question answering, optical character recognition, and document understanding. The model’s innovative approach to handling high-resolution images and its efficient Mixture-of-Experts (MoE) architecture make it a significant leap forward in the field.

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