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🌟 Vision Transformer (ViT) Tutorial – Part 7: The Future of Vision Transformers – Multimodal, 3D, and Beyond

Learn: https://hackmd.io/@husseinsheikho/vit-7

#FutureOfViT #MultimodalAI #3DViT #TimeSformer #PaLME #MedicalAI #EmbodiedAI #RetNet #Mamba #NextGenAI #DeepLearning #ComputerVision #Transformers

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✨ Meet BLIP: The Vision-Language Model Powering Image Captioning ✨

πŸ“– Table of Contents Meet BLIP: The Vision-Language Model Powering Image Captioning What Is Image Captioning and Why Is It Challenging? Why It’s Challenging Why Traditional Vision Tasks Aren’t Enough Configuring Your Development Environment A Brief History of Image Captioning Models…...

🏷️ #ComputerVision #DeepLearning #ImageCaptioning #MultimodalAI #Tutorial
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πŸ€–πŸ§  Thinking with Camera 2.0: A Powerful Multimodal Model for Camera-Centric Understanding and Generation

πŸ—“οΈ 14 Oct 2025
πŸ“š AI News & Trends

In the rapidly evolving field of multimodal AI, bridging gaps between vision, language and geometry is one of the frontier challenges. Traditional vision-language models excel at describing what is in an image β€œa cat on a sofa” β€œa red car on the road” but struggle to reason about how the image was captured: the camera’s ...

#MultimodalAI #CameraCentricUnderstanding #VisionLanguageModels #AIResearch #ComputerVision #GenerativeModels
πŸ€–πŸ§  Qwen3-VL-8B-Instruct β€” The Next Generation of Vision-Language Intelligence by Qwen

πŸ—“οΈ 27 Oct 2025
πŸ“š AI News & Trends

In the rapidly evolving landscape of multimodal AI, Qwen3-VL-8B-Instruct stands out as a groundbreaking leap forward. Developed by Qwen, this model represents the most advanced vision-language (VL) system in the Qwen series to date. As artificial intelligence continues to bridge the gap between text and vision, Qwen3-VL-8B-Instruct emerges as a powerful engine capable of comprehending ...

#Qwen3VL #VisionLanguageAI #MultimodalAI #AISystems #QwenSeries #NextGenAI
πŸ€–πŸ§  Pixeltable: The Future of Declarative Data Infrastructure for Multimodal AI Workloads

πŸ—“οΈ 08 Nov 2025
πŸ“š AI News & Trends

In the rapidly evolving AI landscape, building intelligent applications is no longer just about having powerful models. The real challenge lies in handling complex data pipelines, integrating multiple systems and scaling multimodal workloads efficiently. Traditional AI app development stacks involve databases, vector stores, ETL pipelines, model serving layers, orchestration tools, caching systems and lineage tracking ...

#Pixeltable #DeclarativeDataInfrastructure #MultimodalAI #AIDevelopment #DataPipelines #AIWorkloads
πŸ€–πŸ§  Pico-Banana-400K: The Breakthrough Dataset Advancing Text-Guided Image Editing

πŸ—“οΈ 09 Nov 2025
πŸ“š AI News & Trends

Text-guided image editing has rapidly evolved with powerful multimodal models capable of transforming images using simple natural-language instructions. These models can change object colors, modify lighting, add accessories, adjust backgrounds or even convert real photographs into artistic styles. However, the progress of research has been limited by one crucial bottleneck: the lack of large-scale, high-quality, ...

#TextGuidedEditing #MultimodalAI #ImageEditing #AIResearch #ComputerVision #DeepLearning