Viral AI Company DeepSeek Releases New Image Model Family

Deepseek Model

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DeepSeek Launches Janus-Pro AI Models

DeepSeek, a rapidly growing AI company, has launched Janus-Pro, a new family of AI models that can create and analyze images. The company claims that these models outperform OpenAI’s DALL-E 3 on key benchmarks, marking a significant advancement in the AI space.

Deepseek

Powerful Yet Compact Models

The Janus-Pro models range from 1 billion to 7 billion parameters. Parameters measure the AI’s problem-solving ability, and models with more parameters generally perform better. Despite their smaller size compared to some industry giants, these models deliver strong results.

Outperforming Competitors

The largest model in the family, Janus-Pro-7B, has surpassed DALL-E 3, as well as models from competitors like Stable Diffusion XL, on AI evaluation benchmarks such as GenEval and DPG-Bench. Although the models are limited to smaller image resolutions (up to 384x384), their impressive performance demonstrates the potential of compact AI.

Open and Commercially Accessible

DeepSeek has made Janus-Pro freely available on Hugging Face with an MIT license. This allows anyone to use the models commercially without restrictions, making them a highly accessible tool for developers and businesses.

DeepSeek’s Rise to Prominence

In addition to its new models, DeepSeek has recently gained widespread attention after its chatbot app topped the Apple App Store charts. With financial backing from High-Flyer Capital, the company’s rapid rise is prompting discussions about the future of AI and the competition between global tech leaders.

Impact on the AI Landscape

The introduction of Janus-Pro is seen as a major step forward in the evolution of multimodal AI. By offering powerful, compact models that are easy to use and freely available, DeepSeek is positioning itself as a serious contender in the rapidly advancing AI space. The success of these models could change the way AI is used in both research and industry applications.