The Practical Guide To Large Language Models
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The Practical Guide To Large Language Models
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Author : Ivan Gridin
language : en
Publisher: Apress
Release Date : 2025-12-13
The Practical Guide To Large Language Models written by Ivan Gridin and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-13 with Computers categories.
This book is a practical guide to harnessing Hugging Face's powerful transformers library, unlocking access to the largest open-source LLMs. By simplifying complex NLP concepts and emphasizing practical application, it empowers data scientists, machine learning engineers, and NLP practitioners to build robust solutions without delving into theoretical complexities. The book is structured into three parts to facilitate a step-by-step learning journey. Part One covers building production-ready LLM solutions introduces the Hugging Face library and equips readers to solve most of the common NLP challenges without requiring deep knowledge of transformer internals. Part Two focuses on empowering LLMs with RAG and intelligent agents exploring Retrieval-Augmented Generation (RAG) models, demonstrating how to enhance answer quality and develop intelligent agents. Part Three covers LLM advances focusing on expert topics such as model training, principles of transformer architecture and other cutting-edge techniques related to the practical application of language models. Each chapter includes practical examples, code snippets, and hands-on projects to ensure applicability to real-world scenarios. This book bridges the gap between theory and practice, providing professionals with the tools and insights to develop practical and efficient LLM solutions. What you will learn: What are the different types of tasks modern LLMs can solve How to select the most suitable pre-trained LLM for specific tasks How to enrich LLM with a custom knowledge base and build intelligent systems What are the core principles of Language Models, and how to tune them How to build robust LLM-based AI Applications Who this book is for: Data scientists, machine learning engineers, and NLP specialists with basic Python skills, introductory PyTorch knowledge, and a primary understanding of deep learning concepts, ready to start applying Large Language Models in practice.
Large Language Models
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Author : Code Jecool
language : en
Publisher: Independently Published
Release Date : 2024-11-13
Large Language Models written by Code Jecool and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Large Language Models: Practical Guide to Build LLM from Scratch is your comprehensive roadmap to understanding, building, and deploying state-of-the-art language models. This hands-on guide takes you through the complete lifecycle of creating large language models (LLMs) from the ground up, from foundational theory to real-world application. In this book, you will: Master the fundamentals: Dive deep into the key components of machine learning, neural networks, and transformers, ensuring you have a solid grasp of the principles behind LLMs. Learn step-by-step model construction: Follow a structured approach to design, train, and fine-tune your own LLM, with detailed insights into architectures like GPT, BERT, and beyond. Understand data preprocessing: Gain practical experience in sourcing, cleaning, and preparing large text datasets to optimize model performance. Explore model optimization: Discover techniques like model distillation, sparse models, and quantization to enhance efficiency, scalability, and memory usage. Apply LLMs to real-world tasks: See how LLMs can be fine-tuned for various applications, including sentiment analysis, machine translation, and content generation. Address ethical concerns: Learn how to mitigate bias, protect privacy, and ensure transparency in large-scale AI models. Engage with the community: Learn how to collaborate with open-source contributors, participate in research, and join AI-driven competitions to sharpen your skills. and also Model Optimization for LLMs AI Model Deployment Open-Source LLMs AI Model Training Techniques Practical AI Applications Advanced NLP Techniques AI Research and Development AI Model Evaluation Machine Learning Libraries (TensorFlow, PyTorch) AI and Cloud Computing Language Model Fine-tuning AI Data Preprocessing AI for Content Generation AI Chatbots and Assistants Whether you're a developer, researcher, or AI enthusiast, Large Language Models: Practical Guide to Build LLM from Scratch equips you with the knowledge and tools to contribute to the next generation of AI innovations. Embark on your journey to create smarter, more efficient language models and unlock the vast potential of artificial intelligence.
Quick Start Guide To Large Language Models
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Author : Sinan Ozdemir
language : en
Publisher: Addison-Wesley Professional
Release Date : 2023-09-11
Quick Start Guide To Large Language Models written by Sinan Ozdemir and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-11 with Computers categories.
"The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP) in recent years. Models like BERT, T5, and ChatGPT have demonstrated unprecedented performance on a wide range of NLP tasks, from text classification to machine translation. Despite their impressive performance, the use of LLMs remains challenging for many practitioners. The sheer size of these models, combined with the lack of understanding of their inner workings, has made it difficult for practitioners to effectively use and optimize these models for their specific needs. This book is a practical guide to the use of LLMs in NLP. It provides an overview of the key concepts and techniques used in LLMs and explains how these models work and how they can be used for various NLP tasks. The book also covers advanced topics, such as fine-tuning, alignment, and information retrieval while providing practical tips and tricks for training and optimizing LLMs for specific NLP tasks. This book addresses a wide range of topics in the field of LLMs, including the basics, launching an application with proprietary models, fine-tuning GPT3 with custom examples, prompt engineering, building a recommendation engine, combining Transformers, and deploying custom LLMs to the cloud"--
The Practical Guide To Large Language Models
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Author : Ivan Gridin
language : en
Publisher: Springer Nature
Release Date : 2025-12-12
The Practical Guide To Large Language Models written by Ivan Gridin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-12 with Computers categories.
This book is a practical guide to harnessing Hugging Face's powerful transformers library, unlocking access to the largest open-source LLMs. By simplifying complex NLP concepts and emphasizing practical application, it empowers data scientists, machine learning engineers, and NLP practitioners to build robust solutions without delving into theoretical complexities. The book is structured into three parts to facilitate a step-by-step learning journey. Part One covers building production-ready LLM solutions introduces the Hugging Face library and equips readers to solve most of the common NLP challenges without requiring deep knowledge of transformer internals. Part Two focuses on empowering LLMs with RAG and intelligent agents exploring Retrieval-Augmented Generation (RAG) models, demonstrating how to enhance answer quality and develop intelligent agents. Part Three covers LLM advances focusing on expert topics such as model training, principles of transformer architecture and other cutting-edge techniques related to the practical application of language models. Each chapter includes practical examples, code snippets, and hands-on projects to ensure applicability to real-world scenarios. This book bridges the gap between theory and practice, providing professionals with the tools and insights to develop practical and efficient LLM solutions. What you will learn: What are the different types of tasks modern LLMs can solve How to select the most suitable pre-trained LLM for specific tasks How to enrich LLM with a custom knowledge base and build intelligent systems What are the core principles of Language Models, and how to tune them How to build robust LLM-based AI Applications Who this book is for: Data scientists, machine learning engineers, and NLP specialists with basic Python skills, introductory PyTorch knowledge, and a primary understanding of deep learning concepts, ready to start applying Large Language Models in practice.
Practical Guide To The Teaching Of English As A Foreign Language
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Author : Robert James Dixson
language : en
Publisher:
Release Date : 1975
Practical Guide To The Teaching Of English As A Foreign Language written by Robert James Dixson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with English language categories.
The Llm Builder S Handbook
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Author : Brandon A Parks
language : en
Publisher: Independently Published
Release Date : 2025-10-21
The Llm Builder S Handbook written by Brandon A Parks and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-21 with Computers categories.
Build. Train. Deploy. Scale. The AI revolution is no longer theoretical-it's practical. The LLM Builder's Handbook is your complete, end-to-end guide to building, training, and deploying large language models (LLMs) that actually work in production. Written for engineers, data scientists, and technical leaders, this handbook turns complexity into clarity. From data collection and architecture selection to fine-tuning, deployment, and lifecycle management, every chapter provides actionable, field-tested insights grounded in real-world engineering. You'll learn how to: Design scalable data pipelines and training workflows. Choose, fine-tune, and optimise open-source LLM architectures. Implement retrieval-augmented generation (RAG) and parameter-efficient training (LoRA, PEFT). Deploy models using modern inference stacks and Kubernetes. Monitor, evaluate, and continuously improve models after release. Apply responsible AI governance, cost control, and ethical safeguards. Whether you're prototyping your first chatbot or building enterprise-grade AI infrastructure, this book equips you to go from zero to production with confidence.
A Practical Guide To Using Computers In Language Teaching
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Author : John de Szendeffy
language : en
Publisher: University of Michigan Press ELT
Release Date : 2005
A Practical Guide To Using Computers In Language Teaching written by John de Szendeffy and has been published by University of Michigan Press ELT this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Education categories.
Teachers faced with integrating computers into a second language curriculum will appreciate this helpful, straightforward resource. Unlike the existing scholarly and theoretical texts on computer-assisted language learning (CALL), this book gives context and meaning to the computer environment with immediate classroom needs in mind. The text introduces teachers to CALL, offering tips for getting started, and providing an overview of current CALL pedagogy. (Midwest).
A Practical Guide To Early Childhood Curriculum
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Author : Claudia Fuhriman Eliason
language : en
Publisher: Prentice Hall
Release Date : 2008
A Practical Guide To Early Childhood Curriculum written by Claudia Fuhriman Eliason and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Education categories.
This applied guide to planning and implementing curriculum across the content areas, for children ages 3 to 8, provides students with a depth of background knowledge not usually seen in a text containing practical, highlighted strategies, unit and lesson plans, suggested activities, recipes, and more. Core chapters cover: - Social studies (including diverse people, self and family, physical activity, and nutrition) - Language development - Literacy development - Science (3 separate chapters) - Problem solving and math - Music and movement - Creativity, art, and dramatic activities Key changes to this edition include separate chapters on language development and literacy development, new tables linking learning activities with specific content area standards, streamlined content throughout, and new Web sites.
Building Llm Toolkit
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Author : Lou Jackson
language : en
Publisher: Independently Published
Release Date : 2024-06-17
Building Llm Toolkit written by Lou Jackson and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Computers categories.
This book is a practical guide to using large language models (LLMs) for real-world tasks. It teaches you how to build, improve, and use LLMs for real projects. The book covers a lot, including: * How to build different parts of LLMs, like transformer models. * Techniques for giving LLMs instructions to get the desired results. * How to adjust LLMs to work on specific data sets. * Creating systems that combine searching information and generating new text. The book also explains how to deal with the challenges of using LLMs in real applications, such as making them run faster, storing them efficiently, and using cloud services. You'll also learn how to make sure your LLMs are accurate, reliable, and avoid biases. Finally, the book covers legal and ethical considerations, like data privacy and fairness in LLM outputs. This book is useful for anyone who wants to learn about LLMs, from engineers and researchers to developers and data scientists. Even if you're new to LLMs, this book will give you a strong foundation.
The Athenaeum
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Author :
language : en
Publisher:
Release Date : 1896
The Athenaeum written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1896 with categories.