SimLingo is a remarkable model that combines autonomous driving, language understanding, and instruction-aware control—all in one unified, camera-only framework. It not only delivered top rankings on ...
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FineTuning Gemma 3n for Medical VQA on ROCOv2
The release of Gemma 3n, Google's latest family of open nano models, made LLM edge deployment more accessible. Its unique architecture is engineered to address the persistent challenges ...
Building an Agentic Browser with LangGraph: A Visual Automation and Summarization Pipeline
Developing intelligent agents, using LLMs like GPT-4o, Gemini, etc., that can perform tasks requiring multiple steps, adapt to changing information, and make decisions is a core challenge in AI ...
Fine-Tuning AnomalyCLIP: Class-Agnostic Zero-Shot Anomaly Detection
Zero-shot anomaly detection (ZSAD) is a vital problem in computer vision, particularly in real-world scenarios where labeled anomalies are scarce or unavailable. Traditional vision-language models ...
MedGemma: Google’s Medico VLM for Clinical QA, Imaging, and More
Picture this: Dr. Aris, a radiologist with a decade of experience, is staring at his screen. The stack of digital files, chest X-rays, and CT scans seems endless. Each image holds a story, a clue to a ...
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, ...
