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.