Best Resources to Build & Understand Vision Language Models

Vision-Language Models (VLMs) lie at the intersection of computer vision and natural language processing, enabling systems to understand and generate language grounded in visual context.

These models power a wide range of applications — from image captioning and visual question answering to multimodal search and AI assistants. This article offers a curated guide to learning and building VLMs, exploring key concepts in multimodality, foundational architectures, hands-on coding resources, and advanced topics like retrieval-augmented generation for multimodal inputs.

Whether you’re a beginner trying to grasp the basics or a practitioner looking to deepen your technical understanding, this guide brings together practical and conceptual resources to support your journey into the world of vision-language modeling.