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Object Detection and Spatial Understanding with VLMs ft. Qwen2.5-VL

What if object detection wasn't just about drawing boxes, but about having a conversation with an image? Dive deep into the world of Vision Language Models (VLMs) and see how

Computer Vision, LLMs, NLP, Vision Language Models, VLMs

FineTuning Gemma 3n for Medical VQA on ROCOv2

What if a radiologist facing a complex scan in the middle of the night could ask an AI assistant for a second opinion, right from their local workstation? This isn't

Computer Vision, Generative AI, Generative Models, LLMs, Multimodal Models, NLP, Transformer Neural Networks, Vision Language Models, Vision Transformer, VLMs

Nanonets-OCR-s: Enabling Rich, Structured Markdown for Document Understanding

Traditional Optical Character Recognition (OCR) systems are primarily designed to extract plain text from scanned documents or images. While useful, such systems often ignore semantic structure, layout, and visual cues

OCR, VLMs

GR00T N1.5 Explained: NVIDIA’s VLA Model for Humanoids

Dive into NVIDIA's GR00T N1.5, a groundbreaking open foundation model poised to revolutionize humanoid robotics! Discover how this advanced Vision-Language-Action (VLA) model, with its smarter architecture and innovative training using

Robotics, Vision Language Models, Vision Transformer

The Definitive Guide to LLaVA: Inferencing a Powerful Visual Assistant

To develop AI systems that are genuinely capable in real-world settings, we need models that can process and integrate both visual and textual information with high precision. This is the

Multimodal Models, Vision Language Models, VLMs

Introducing BLIP3-o: The Unified Multimodal Model

The landscape of Artificial Intelligence is rapidly evolving towards models that can seamlessly understand and generate information across multiple modalities, like text and images. Salesforce AI Research has introduced BLIP3-o,

AI Art Generation, Computer Vision, Multimodal Models