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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

Item #: 90078875

KWD 17

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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 Kuwait. 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.

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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.

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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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