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🔥 Deep Seek Launches Janis Pro: Revolutionary Free Multimodal AI Model Discover the groundbreaking Janis Pro 7B - a free, open-source multimodal AI model that's setting new benchmarks in both image understanding and generation. In this video, we dive deep into its capabilities, performance, and how you can start using it today. Massed compute: https://bit.ly/mervin-praison Coupon: MervinPraison (50% Discount on Selected GPU) 🚀 Key Features: Superior performance compared to Lava and other open-source models Dual capability: Both image understanding and generation Built on Deep Seek V2 with 90M+ training samples Advanced synthetic aesthetic data training (72M samples) Fast API and Gradio interface support Free for public use 🛠️ Technical Specifications: Architecture: Auto-regression transformer Components: Encoder text tokenizer, image decoder Training data: Image captions, table/chart understanding, document analysis Available on Hugging Face with complete documentation 💡 Use Cases: Detailed scene description Landmark recognition Text recognition Image generation General knowledge Q&A Visual storytelling https://github.com/deepseek-ai/Janus ⚡ Try It Yourself: Download the model weights and run it locally using the provided code snippets. Perfect for both research and practical applications. 📢 Join the Discussion: Share your experiences, ask questions, or request specific testing scenarios in the comments below! #AI #DeepLearning #ComputerVision #MachineLearning #OpenSource #AITechnology #DeepSeek #MultimodalAI #ArtificialIntelligence Timestamp: 0:00 - Introduction to DeepSeek's Janis Pro Model 0:14 - Multimodal Capabilities Overview 0:34 - Performance Comparison with Other Models 0:46 - Image Understanding & Generation Features 1:32 - Training Data & Model Performance 2:00 - Demo Examples & Use Cases 2:30 - GitHub Code & Implementation Details 2:54 - Online Demo Walkthrough 3:36 - Related Deep Seek Content & Conclusion