LLMs

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 benchmarks, while natively supporting

Language Models, LLMs

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 development.

Agentic AI, Computer Vision, Generative AI, Generative Models, LLMs, VLMs

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 capabilities. Built on the foundations of SigLIP, this

Computer Vision, Generative AI, LLMs, NLP, VLMs

MedGemma: Google’s Medico VLM for Clinical QA, Imaging, and More

Imagine an AI co-pilot for every clinician, capable of understanding both complex medical images and dense clinical text. That's the promise of MedGemma, Google's new Vision-Language Model specifically trained for

Generative AI, LLMs, Vision Language Models, VLMs

Getting Started with Qwen3 – The Thinking Expert

Alibaba Cloud just released Qwen3, the latest model from the popular Qwen series. It outperforms all the other top-tier thinking LLMs, such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Unlike

Generative AI, Language Models, LLMs, NLP

Unsloth: A Guide from Basics to Fine-Tuning Vision Models

Unsloth has emerged as a game-changer in the world of large language model (LLM) fine-tuning, addressing what has long been a resource-intensive and technically complex challenge. Adapting models like LLaMA,

Generative Models, LLMs, Model Optimization