Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of?This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns - Author, Retriever, Extractor, Agent, and Experimental - to effectively implement generative AI systems within your organization. The Generative AI Practitioner's Guide: How to Apply LLM Patterns for Enterprise Applications bridges a critical knowledge gap for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy generative AI.In today's rapidly evolving world, staying ahead of the competition requires a deep understanding of the five implementation patterns and the potential benefits and risks associated with generative AI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI's transformative impact on various industries.Empower your organization with a competitive edge in today's marketplace using The Generative AI Practitioner's Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it's not the tech that's tiny, just the book!¿