Large Language Model Literacy Teacher Manual For Higher Education

Description

Mujo’s Large Language Model Literacy 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.

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Additional information

Available In

Softcover Textbook

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
Learning Outcomes are available upon request

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