AI Engineering in Practice. Richard Davies, Rafael Fischer

Write, refine, organize, and optimize AI prompts that generate relevant and useful text and images!

Generative AI models such as ChatGPT, Stable Diffusion, and Gemini can produce amazingly “human-like” news articles, document summaries, images, computer code, and more—if you know how to write effective prompts. This book will teach you the prompt design and authoring skills you need to get useful and relevant responses from AI models, along with advanced prompting techniques for Retrieval Augmented Generation (RAG), building autonomous agents, and data privacy.

AI Engineering in Practice teaches you how to:
 

• Design prompts that generate accurate and readable responses from LLMs
• Mitigate hallucinations in LLM output
• Domain-aware content generation using RAG
• How AI model design affects your prompts
• Evaluate, optimize, and organize your prompts

Prompt engineering is the discipline of writing instructions for AI models to generate relevant, accurate, and usable completions. AI Engineering in Practice shows you how to engineer prompts that ensure the outputs of LLMs and other generative AI models exactly match your requirements. You’ll learn how to structure your objectives, take advantage of contextual details, and even pick the right model for your task.