AI Engineering in Practice (MEAP 3) by Richard Davies (.ePUB)+
File Size: 10 MB
AI Engineering in Practice (MEAP 3) by Richard Davies, Rafael Fischer
Requirements: .ePUB, .PDF reader, 10 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. AI Engineering is Software Engineering that incorporates modern AI techniques, Language Models, Vector Databases, Embeddings, to solve problems involving unstructured data like text, images, and audio. It requires the same discipline as traditional Software Engineering: scalable architecture, systematic testing, robust error handling, and operational monitoring. The distinction lies not in abandoning software engineering fundamentals, but in extending them with AI-specific patterns for problems where traditional approaches fall short. No special skills with AI or Machine Learning required. Code examples are in Python.
Genre: Non-Fiction > Tech & Devices
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