Multimodal Models

LangGraph: Building Self-Correcting RAG Agent for Code Generation

Welcome back to our LangGraph series! In our previous post, we explored the fundamental concepts of LangGraph by building a Visual Web Browser Agent that could navigate, see, scroll, and summarize

Agentic AI, AI Art Generation, Computer Vision, Generative AI, Generative Models, Hugging Face Transformers, Multimodal Models, Vision Language Models

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

V-JEPA 2: Meta’s Breakthrough in AI for the Physical World

The ultimate goal for many in artificial intelligence is to build agents that can perceive, reason, and act in our complex physical world. Meta AI has made a significant stride

Computer Vision, Generative AI, Generative Models, Hugging Face Transformers, Multimodal Models, Robotics, Vision Language Models

VLM for Video Understanding with Spatial and Temporal Context: NVIDIA Cosmos Reason1

NVIDIA’s Cosmos Reason1 is a family of Vision Language Models trained to understand the physical world and make decisions for embodied reasoning. What makes Cosmos Reason1, as a promising contender

Computer Vision, Multimodal Models, Vision Language Models

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

Qwen2.5-Omni: A Real-Time Multimodal AI

Qwen2.5-Omni is a groundbreaking end-to-end multimodal foundation model developed by Alibaba Qwen Group. In a unified and streaming manner, it’s designed to perceive and generate across multiple modalities – including

Generative Models, Multimodal Models, Paper Overview