Vision language models (VLMs) combine computer vision and natural language processing to create powerful systems that can interpret, generate, and respond in multimodal contexts. Vision Language Models is a hands-on guide to building real-world VLMs using the most up-to-date stack of machine learning tools from Hugging Face, Meta (PyTorch), NVIDIA (Cuda), and others, written by leading researchers and practitioners Merve Noyan, Miquel Farr\u00E9, Andr\u00E9s Marafioti, and Orr Zohar. From image captioning and document understanding to advanced zero-shot inference and retrieval-augmented generation (RAG), this book covers the full VLM application and development lifecycle.\nDesigned for ML engineers, data scientists, and developers, this guide distills cutting-edge VLM research into practical\n\nVision Language Models\nBuilding Vlms with Hugging Face\nFree UK delivery on this item.\n\nThis brand new item is available with free UK delivery using Royal Mail tracked services.\n\nPlease n;