In this episode of Technically U, we explore DeepSeek-VL2, a state-of-the-art Vision-Language Model (VLM) developed by DeepSeek AI.

Learn how this AI interprets both text and images, offering groundbreaking applications in fields like healthcare, finance, education, and content creation.

🔍 What You’ll Learn in This Episode:

✅ What is DeepSeek-VL2 and why is it revolutionary?

✅ How it reads and interprets images using advanced neural networks

✅ Key components: Vision Encoder, Vision-Language Adaptor, and Mixture-of-Experts Model

✅ Benefits like multimodal understanding, efficiency, and scalability

✅ Real-world uses: Visual Question Answering, OCR, and Document Analysis

✅ Where to download and experiment with DeepSeek-VL2

💡 Whether you’re a developer, researcher, or AI enthusiast, this episode is packed with insights into the future of AI-driven image interpretation!

📢 Join the Conversation:

💬 How do you see AI like DeepSeek-VL2 shaping industries? Share your thoughts in the comments!

🔔 Like, Comment & Subscribe for more tech insights!

Where you can find it: GitHub: Download the model and explore its codebase: DeepSeek-VL2 on GitHub. Hugging Face: Access the model directly for deployment: DeepSeek-VL2 on Hugging Face.

Research Paper: Learn about its architecture and benchmarks on arXiv.

What is Deepseek - VL2: (0:30)

Three versions of VL2: (0:53)

How it works: (1:25)

Reading Text & Structure: (3:10)

Benefits of DeepSeek VL2: (3:15)

Where to find it: (4:20)