Vision Language Models (Final) by Merve Noyan (.ePUB)+

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File Size: 51.5 MB

Vision Language Models: Building VLMs with Hugging Face (Final Release) by Merve Noyan, Miquel Farré, Andrés Marafioti, Orr Zohar
Requirements: .ePUB, .PDF reader, 51.5 MB | True PDF, True EPUB
Overview: 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 Farré, Andrés 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. This book is for Machine Learning engineers, researchers, and technically minded builders who want to work with modern vision-language systems in practice. You may already use multimodal models through APIs or open-weight checkpoints but want to understand what is happening under the hood and build systems of your own. It is not a complete introduction to Machine Learning from first principles. We assume you are comfortable with Python, notebooks, and some basic Machine Learning concepts. Most examples use PyTorch and the Hugging Face ecosystem, so prior exposure to those tools will help but is not mandatory.
Genre: Non-Fiction > Tech & Devices

Free Download links:

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https://rapidgator.net/file/8515621cd19bc41298f7375c2bce51ed/Vision_Language_Models_True.rar.html