What is Deepseek-VL2?
DeepSeek-VL2 are open-source vision-language models with strong multimodal understanding, powered by an efficient MoE architecture. Easily test them out with the new Hugging Face demo.
Problem
Vision-language models typically require significant expertise to deploy and experiment with, leading to accessibility issues for a broader audience.
Users face challenges with the current models that have limited multimodal understanding or complexity in operation.
Solution
Open-source vision-language models with a MoE architecture.
The models can be easily tested through a Hugging Face demo, providing advanced multimodal understanding.
Customers
Researchers and developers in AI and machine learning interested in vision-language tasks.
Enthusiasts in the field of AI seeking hands-on experience with multimodal systems.
Unique Features
Powered by an efficient Mixture of Experts (MoE) architecture, enhancing the model's efficiency in multimodal understanding.
Open-source availability makes it accessible for a wide range of users.
Market Size
The AI vision and language market is part of the broader AI market, which was valued at approximately $62 billion in 2022, with continued growth expected.
