AI Engineering in Practice (MEAP v2) by Richard Davies (.PDF)
File Size: 21.1 MB
AI Engineering in Practice (MEAP v2) by Richard Davies
Requirements: .PDF reader, 21.1 MB
Overview: 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. 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. No special skills with AI or Machine Learning required. Code examples are in Python.
Genre: Non-Fiction > Tech & Devices

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