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PyTorch LLM: Train, Fine-Tune, and Deploy Large Language Models for Real-World Applications - Softcover
Synopsis
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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Paperback. Condition: new. Paperback. PyTorch has rapidly become one of the leading deep learning frameworks, offering powerful tools for building, training, and deploying machine learning models. Specifically, PyTorch's flexibility and efficiency have made it the go-to choice for Large Language Models (LLMs), such as BERT, GPT, and T5. These models, based on transformer architecture, have revolutionized the way we handle text-based tasks, from sentiment analysis to question answering and beyond. This book focuses on leveraging PyTorch to train, fine-tune, and deploy LLMs, enabling real-world applications across industries.This is a comprehensive guide for anyone looking to harness the power of LLMs using the PyTorch framework. From foundational principles to advanced deployment techniques, this book covers all aspects of working with LLMs. You will learn how to train models from scratch, fine-tune pre-trained models for specific tasks, and deploy these models for real-world use cases like customer service, healthcare, finance, and more. The book provides practical insights, hands-on examples, and deep dives into both the theory and practice of large-scale language modeling.Key Features: Step-by-Step Guidance: Learn how to set up, train, fine-tune, and deploy PyTorch-based LLMs.Hands-on Code Examples: Over 50 code snippets and practical exercises to reinforce learning.Real-World Applications: Case studies and examples from healthcare, finance, education, and retail industries.Advanced Topics: Explore multi-GPU training, distributed computing, and the latest trends in transformer models like LLaMA, Falcon, and multi-modal LLMs.Deployment Insights: Learn how to efficiently deploy large models in production environments using PyTorch, AWS, Google Cloud, and Azure.Model Interpretability: Understand how to interpret model predictions with tools like Captum to ensure fairness and transparency.This book is perfect for: Data Scientists and Machine Learning Engineers who want to master large language models and work with the latest AI technologies.AI Researchers interested in exploring PyTorch and developing custom solutions with LLMs.Software Engineers eager to integrate advanced NLP capabilities into their applications.AI Enthusiasts and Learners looking to expand their knowledge and apply PyTorch to real-world AI projects.Practical Approach: This book is not just about theory-it's packed with practical examples and hands-on exercises that teach you how to implement what you learn.Cutting-Edge Content: Stay up to date with the latest advancements in transformer architectures and multi-modal models, which are transforming industries today.Scalability: Learn how to handle the complexities of training and deploying massive language models, even on multi-GPU or distributed systems.Industry-Relevant: With case studies and real-world examples, you'll gain insights into how LLMs are already reshaping industries like healthcare, finance, and e-commerce.Comprehensive: Whether you're new to PyTorch or an experienced user, this book provides in-depth coverage of PyTorch, from basic concepts to advanced deployment techniques.By the end of this book, you'll have the knowledge and skills to build and deploy LLMs that solve real-world problems, leveraging the full power of PyTorch's deep learning capabilities. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798300768577
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