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VOOZH | about |
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VOOZH | about |
AI/ML Technical Content Strategist
DeepSeek AI, the rising star of the AI world from Hangzhou China, has been one of the hottest topics around the past few weeks. This is largely thanks to the incredible performance of their R1 series of models, which offer comparable reasoning capabilities to OpenAI O1 at a fraction of the training cost. The popularity of DeepSeek R1 has brought open-source models surging back to the forefront of the general consciousness.
More recently, DeepSeek also released their newest version of the autoregressive framework Janus, Janus Pro. Janus-Pro is a unified understanding and generation Multimodal Large Language Model that is capable of interpreting and generating both image and text data. In it does this by “by decoupling visual encoding into separate pathways, while still utilizing a single, unified transformer architecture for processing. The decoupling not only alleviates the conflict between the visual encoder’s roles in understanding and generation, but also enhances the framework’s flexibility.”
Follow along with this article to learn how Janus Pro works, how it compares to other multimodal LLMs, and how to run Janus Pro on a DigitalOcean GPU Droplet.
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