PyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications PyTorch 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, Large Language Models (LLMs) such as BERT, GPT, T5, and LLaMA are revolutionizing natural language processing and transforming industries like healthcare, finance, education, and customer service . This comprehensive, hands-on ...
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PyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications PyTorch 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, Large Language Models (LLMs) such as BERT, GPT, T5, and LLaMA are revolutionizing natural language processing and transforming industries like healthcare, finance, education, and customer service . This comprehensive, hands-on guide takes you step-by-step through the entire lifecycle of working with LLMs using PyTorch-from foundations and model building to fine-tuning and deployment . 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. What You'll Learn: Core Foundations: Understand the principles behind LLMs and transformer-based architectures. Training and Fine-Tuning: Build models from scratch or fine-tune pre-trained models for specialized tasks like chatbots, summarization, and text classification. Hands-On Code: Over 50 detailed, fully-tested code examples that you can run and adapt for your own projects. Real-World Applications: Explore case studies in industries such as finance, healthcare, retail, and education. Advanced Techniques: Dive into distributed computing, multi-GPU training, and optimizations for large-scale models. Deployment Strategies: Learn how to deploy models with PyTorch on cloud platforms such as AWS, Google Cloud, and Azure. Model Interpretability: Gain insights into model decisions using tools like Captum to ensure fairness and transparency. Who This Book Is For: Data Scientists and ML Engineers looking to master modern NLP and LLM development. Software Engineers aiming to integrate advanced AI features into applications. AI Researchers exploring cutting-edge PyTorch capabilities and experimentation. AI Enthusiasts and Learners eager to gain practical, job-ready skills in deep learning and NLP. By the end of this book, you'll be equipped to build, fine-tune, and deploy powerful LLMs 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.
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New. Trade paperback (US). Glued binding. 202 p. Intended for college/higher education audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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Fine. Trade paperback (US). Glued binding. 202 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of PyTorch LLM: Train, Fine-Tune, and Deploy Large to cart. £22.40, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2024 by Independently Published.
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New. Trade paperback (US). Glued binding. 202 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
