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Hands-On Large Language Models: Language Understanding and Generation
Hands-On Large Language Models: Language Understanding and Generation
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Hands-On Large Language Models: Language Understanding and Generation
Hands-On Large Language Models: Language Understanding and Generation
You'll learn practical tools and concepts you need to use these capabilities today.
Hands-On Large Language Models: Language Understanding and Generation
Item #: 90078875

Hands-On Large Language Models: Language Understanding and Generation

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Item #: 90078875

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What Stands Out

Comprehensive Techniques
Offers in-depth exploration of language understanding and generation techniques, equipping readers with practical skills and theoretical knowledge applicable in various AI-driven scenarios.
Hands-on Approach
Emphasizes experiential learning through practical examples and exercises, enhancing reader engagement and understanding of complex concepts in large language models.
Real-world Applications
Discusses the application of large language models in diverse industries, helping readers visualize and implement AI solutions that address real-life challenges effectively.

Product Details

Shop Hands-On Large Language Models: Language Understanding and Generation online at a best price in Paraguay. 1098150961
  • AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Through this book's visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today. You'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings. This book also helps you: Understand the architecture of Transformer language models that excel at text generation and representationBuild advanced LLM pipelines to cluster text documents and explore the topics they coverBuild semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankersExplore how generative models can be used, from prompt engineering all the way to retrieval-augmented generationGain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning
Publisher O'Reilly Media
Publication date October 15, 2024
Edition 1st
Language English
Print length 425 pages
ISBN-10 1098150961
ISBN-13 978-1098150969
Item Weight 1.63 pounds (740 grams)
Dimensions 7 x 0.87 x 9.19 inches (17.8 x 2.2 x 23.3 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for individuals seeking practical knowledge in large language models for data science applications and career advancement.

  • AI Researchers

    Provides in-depth understanding and hands-on experience for researchers focusing on natural language processing and model development.

  • Educators and Trainers

    Useful resource for educators who want to incorporate large language models into teaching curricula on AI and NLP.

Not Suitable For
  • Beginners in AI

    Not suitable for those unfamiliar with basic concepts of artificial intelligence and machine learning methodologies.

Product Description

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Customer Questions & Answers

  • Question: What is the main focus of Hands-On Large Language Models: Language Understanding and Generation?

    Answer: The book primarily focuses on practical applications of large language models in understanding and generating natural language. It covers concepts like model architecture, training techniques, and fine-tuning methods, providing readers with hands-on experiences to implement these models effectively. Readers will learn through practical examples and projects, making the complex world of AI language processing accessible.
  • Question: Who is the target audience for this book?

    Answer: The target audience includes students, data scientists, AI enthusiasts, and professionals looking to deepen their understanding of language models. This book caters to both beginners with foundational knowledge of machine learning as well as advanced practitioners who want to explore more in-depth techniques and real-world applications of large language models.
  • Question: What are the key learning outcomes from this book?

    Answer: Readers can expect to gain a robust understanding of how large language models work, including their underlying mechanisms and the ability to implement them in various scenarios. Additionally, the book promotes skills in fine-tuning models for specific tasks, adjusting parameters, and optimizing performance. These outcomes are beneficial for anyone looking to leverage AI in their projects or professional roles.
  • Question: Can I use this book for self-study?

    Answer: Absolutely! The book is structured to facilitate self-study with clear explanations, practical examples, and step-by-step guides. Each chapter builds upon the previous one, allowing readers to progress from fundamental concepts to more advanced techniques. It also includes exercises that encourage hands-on application, making it a perfect resource for individual learners.
  • Question: Are there examples and projects included in the book?

    Answer: Yes, the book includes numerous examples and real-world projects that illustrate the application of large language models. These projects allow you to apply what you've learned in practical situations, whether for academic purposes, research, or personal interest. By working through these projects, you can enhance your skills and understanding of AI-based language applications.
  • Question: What programming languages or tools does the book use?

    Answer: The book primarily utilizes Python as the programming language, along with popular libraries such as TensorFlow and PyTorch. These tools are widely used in the AI community and provide excellent support for implementing large language models. Familiarity with these languages and tools can enhance your learning experience and enable you to follow along with the projects effectively.
  • Question: Does the book cover ethics in AI language models?

    Answer: Yes, the book addresses the ethical considerations surrounding the use of large language models. It discusses biases in data, the implications of generated content, and responsible AI practices. Understanding these ethical dimensions is crucial for anyone working with AI technologies, ensuring that they deploy solutions that are both effective and conscientious.
  • Question: How does this book compare to others in the field?

    Answer: This book stands out due to its practical approach, focusing on hands-on learning rather than just theoretical concepts. While many books discuss language models academically, this one emphasizes real-world applications, offering practical exercises and case studies. This makes it a valuable resource for gaining applicable skills alongside knowledge.
  • Question: What concepts should I understand before reading this book?

    Answer: A basic understanding of machine learning, neural networks, and natural language processing will help you grasp the content more effectively. Familiarity with Python programming is also recommended, as you'll engage directly with coding examples and projects. However, the book does provide foundational insights that can benefit motivated learners starting from scratch.
  • Question: Where can I buy Hands-On Large Language Models: Language Understanding and Generation 1st Edition in Paraguay?

    Answer: You can purchase the book from Ubuy, a reliable online marketplace known for a vast selection of products including books. Ubuy often offers an array of international shipping options, making it convenient for users in Paraguay to access this title.

Natural Language Processing Editorial Review

Hands-On Large Language Models: Language Understanding and Generation is an insightful resource published by O'Reilly Media, set to release on October 15, 2024. This first edition spans 425 pages and delves into the intricacies of language models, offering a comprehensive guide for both beginners and seasoned researchers. The book is written in English and is designed to be user-friendly, enhancing readers' understanding of language generation and comprehension capabilities. It provides practical examples and applications, making complex concepts accessible. With its detailed design, it appeals to programmers and data scientists eager to explore the latest advancements in AI language models.

Customer Reviews & Ratings

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Pros

  • In-depth exploration of language models
  • User-friendly practical examples provided
  • Comprehensive coverage of key concepts
  • Ideal for both beginners and experts
  • Well-structured and easy to navigate

Cons

  • May be dense for casual readers

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PYG 412854

Order now and get it around Wednesday, October 07

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Only 4 items left in stock.
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Features & Benefits

  • Explore the cutting-edge of AI language capabilities.
  • Learn to use pretrained language models for various applications.
  • Build advanced pipelines for document clustering and topic exploration.
  • Create semantic search engines that surpass traditional keyword searching.
  • Master generative models through effective prompt engineering and fine-tuning.
  • Understand the architecture of Transformer models for improved text generation.

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