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 ...
Archives for 2025
SmolLM3 Blueprint: SOTA 3B-Parameter LLM
In the evolving landscape of open-source language models, SmolLM3 emerges as a breakthrough: a 3 billion-parameter, decoder-only transformer that rivals larger 4 billion-parameter peers on many ...
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 ...
SigLIP 2: DeepMind’s Multilingual Vision-Language Model
SigLIP-2 represents a significant step forward in the development of multilingual vision-language encoders, bringing enhanced semantic understanding, localization, and dense feature extraction ...
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 ...






