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Building Generative AI Models with PyTorch: Advancing Innovation with Large Language Models and Cutting-Edge AI
Building Generative AI Models with PyTorch is a comprehensive guide for developers, researchers, and AI enthusiasts looking to harness the power of large language models and cutting-edge generative technologies.
Written by Sumit Srivastava, this book dives deep into the practical implementation of generative AI using PyTorch—one of the most powerful and flexible deep learning frameworks available today.
🚀 Learn to build and train LLMs from scratch🧠 Explore transformer architectures and attention mechanisms🔧 Apply PyTorch to real-world generative tasks📈 Optimize models for performance and scalabilityWhether you're developing chatbots, creative AI tools, or autonomous agents, this book provides the foundation and advanced techniques needed to innovate with confidence.
Building Generative AI Models with PyTorch is ideal for intermediate to advanced Python programmers, machine learning engineers, and anyone eager to push the boundaries of artificial intelligence.
Written by Sumit Srivastava, this book dives deep into the practical implementation of generative AI using PyTorch—one of the most powerful and flexible deep learning frameworks available today.
🚀 Learn to build and train LLMs from scratch🧠 Explore transformer architectures and attention mechanisms🔧 Apply PyTorch to real-world generative tasks📈 Optimize models for performance and scalabilityWhether you're developing chatbots, creative AI tools, or autonomous agents, this book provides the foundation and advanced techniques needed to innovate with confidence.
Building Generative AI Models with PyTorch is ideal for intermediate to advanced Python programmers, machine learning engineers, and anyone eager to push the boundaries of artificial intelligence.
730 pages, Kindle Edition
Published September 23, 2025
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