{"product_id":"pytorch-llm-train-fine-tune-and-deploy-large-language-models-for-real-world-applications-paperback","title":"PyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eCharles Sprinter\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ePyTorch has emerged as one of the most powerful and flexible deep learning frameworks, enabling developers, data scientists, and researchers to build cutting-edge AI systems. In today's AI-driven world, \u003cb\u003eLarge Language Models (LLMs)\u003c\/b\u003e such as \u003cb\u003eBERT, GPT, T5, and LLaMA\u003c\/b\u003e are revolutionizing natural language processing and transforming industries like \u003cb\u003ehealthcare, finance, education, and customer service\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eThis comprehensive, hands-on guide takes you step-by-step through the entire lifecycle of working with LLMs using PyTorch-from \u003cb\u003efoundations and model building to fine-tuning and deployment\u003c\/b\u003e. Whether you are just getting started or already experienced with deep learning, this book provides practical knowledge and real-world examples to help you create scalable, production-ready language models.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eCore Foundations: \u003c\/b\u003e Understand the principles behind LLMs and transformer-based architectures.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eTraining and Fine-Tuning: \u003c\/b\u003e Build models from scratch or fine-tune pre-trained models for specialized tasks like chatbots, summarization, and text classification.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eHands-On Code: \u003c\/b\u003e Over 50 detailed, fully-tested code examples that you can run and adapt for your own projects.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eReal-World Applications: \u003c\/b\u003e Explore case studies in industries such as finance, healthcare, retail, and education.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAdvanced Techniques: \u003c\/b\u003e Dive into distributed computing, multi-GPU training, and optimizations for large-scale models.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDeployment Strategies: \u003c\/b\u003e Learn how to deploy models with PyTorch on cloud platforms such as AWS, Google Cloud, and Azure.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eModel Interpretability: \u003c\/b\u003e Gain insights into model decisions using tools like Captum to ensure fairness and transparency.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eData Scientists and ML Engineers\u003c\/b\u003e looking to master modern NLP and LLM development.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eSoftware Engineers\u003c\/b\u003e aiming to integrate advanced AI features into applications.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAI Researchers\u003c\/b\u003e exploring cutting-edge PyTorch capabilities and experimentation.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAI Enthusiasts and Learners\u003c\/b\u003e eager to gain practical, job-ready skills in deep learning and NLP.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eBy the end of this book, you'll be equipped to \u003cb\u003ebuild, fine-tune, and deploy powerful LLMs\u003c\/b\u003e that solve real-world problems and deliver value across multiple industries. With clear explanations, practical projects, and production-focused strategies, this book will be your go-to resource for mastering PyTorch and modern language modeling.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 202\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.43 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 21, 2024\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":53596830794035,"sku":"9798300768577","price":24.3,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0990\/0746\/3731\/files\/DaR1K8dSZe9798300768577.webp?v=1782970895","url":"https:\/\/s3xxpj-vy.myshopify.com\/products\/pytorch-llm-train-fine-tune-and-deploy-large-language-models-for-real-world-applications-paperback","provider":"The Celestial Starlit Phoenix ","version":"1.0","type":"link"}