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Large Language Model Literacy (LLML) Student Textbook For Higher Education

$99.00

Description

Mujo’s Large Language Model Literacy (ISBN: 9781998671090) provides students with a comprehensive and practical guide to understanding and working with large language models (LLMs). This textbook covers essential course knowledge, including natural language processing (NLP) techniques, AI governance policies, LLM training processes, and benchmarking methods to evaluate model performance. Students will explore how LLMs are developed, deployed, and governed in real-world applications.

This book also equips learners with hands-on skills in key areas such as prompt engineering, function calling, and model fine-tuning, enabling them to optimize LLM outputs for specific tasks. Additionally, students will gain expertise in workflow development, learning how to integrate LLMs into business processes efficiently. By mastering these concepts and techniques, students will be well-prepared to navigate the fast-evolving world of LLMs, empowering them to contribute to cutting-edge AI applications in language understanding, communication, and automation.

ISBN: 9781998671090

BOOK CODE: LLML-SM

Fulfillment Details:

  1. Electronic Books: Our e-books are always up to date. You will receive the latest VitalSource code for redeeming your electronic book(s).
  2. Printed Books Option: If you want soft cover printed copies, they are available for an additional cost. Each book costs $199.00, plus shipping fees.
  3. How to Request: To request printed copies, please mention this during your checkout process. We will then update your invoice to reflect this request and send the updated invoice to you.

Additional information

Book Format

Soft Copy Printed

Discipline

Applied AI For Business

Textbook Edition

For Post-Secondary Students

Subject

Understanding AI

Table of Contents

Ch 1 Introduction to Large Language Models
Ch 2 Natural Language Processing
Ch 3 Model Training and Fine-Tuning
Ch 4 Prompt Engineering
Ch 5 Frameworks, Libraries, and Applications
Ch 6 Evaluating Outputs
Ch 7 LLM Platforms and Providers
Ch 8 Workflows, Governance, and Strategic Implementation

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