Publisher's Synopsis
Prompt engineering has emerged as a critical discipline in artificial intelligence (AI), enabling users to effectively communicate with large language models (LLMs) and multimodal AI systems. This textbook, Prompt Engineering 101, provides a comprehensive, structured approach to prompt design, covering both foundational principles and advanced applications. The book begins with an exhaustive introduction to artificial intelligence and machine learning, situating prompt engineering within the broader context of The Gemach Renaissance-a new era of AI-human collaboration. It highlights the pioneering role of Gemach DAO's intelligent agents, including Gemach D.A.T.A. I, which became the first AI system to co-author an academic paper on arXiv.
The text then delves into the practical aspects of prompt engineering, detailing key techniques such as instruction-based prompting, chain-of-thought reasoning, few-shot learning, and multimodal interactions, including voice and video generation with models like OpenAI's Sora. Real-world case studies illustrate how prompt engineering is applied in diverse fields, from finance (AI-driven market analysis) and healthcare (AI medical assistants) to education (AI tutoring in the metaverse) and social media (AI-driven engagement through agents like Ari @gemachagent). The theoretical underpinnings of prompt engineering are also explored, drawing from linguistics, cognitive science, ethics, and Actor-Network Theory (AANT), as conceptualized by Justin Goldston. These perspectives highlight the role of prompt engineering in shaping AI behavior, mitigating bias, and ensuring ethical AI governance.
Through detailed exercises, hands-on API implementation, and discussions on AI governance in Web3 and decentralized autonomous organizations (DAOs), this textbook equips students, researchers, and practitioners with the skills to design robust, context-aware, and ethically sound prompts. By integrating insights from seminal works on AI models, systems thinking, and decentralized intelligence, Prompt Engineering 101 provides a forward-looking framework for human-AI collaboration in an era of rapid technological evolution.
