{ "item_title" : "Hands-On AI Engineering", "item_author" : [" Machine Learning Writers "], "item_description" : "Hands-On AI Engineering is a practical, code-first guide to building production-grade LLM systems. Written by 4 practicing AI engineers. It focuses on what AI teams deal with every day: performance limits, reliability, evaluation, and cost control.You'll learn how to design, build, and operate LLM systems that run efficiently, scale responsibly, and hold up under real users - without relying on expensive cloud credits or black-box APIs.What this book coversTraining and fine-tuning neural networks with PyTorchFine-tuning transformers using LoRA and QLoRA on consumer hardwareBuilding robust RAG pipelines: chunking strategies, hybrid retrieval, ranking, and faithfulness checksDeploying models with FastAPIEvaluating systems properly: rubrics, LLM-as-a-judge, golden datasets, regression testing, benchmarkingMonitoring, failure handling, and cost-performance trade-offsDocumenting architectures and decisions so teams can trust and extend your work Performance add-ons (last chapter)A companion GitHub repository, carefully sequenced projects you can follow along with and build yourself.Project 1 - Simple Companion Chat: Basic chatbot built around a single document.Project 2 - Personal Knowledge Q&A: Ask questions over your own files with grounded answers.Project 3 - Checked Q&A System: Compare AI answers against expected results.Project 4 - Conversational Agent: Multi-turn chat with memory and simple tools.Project 5 - Document Summarizer: Controlled summaries with basic quality checks.Project 6 - Chapter Explorer: Turn text into outlines and short quizzes. This book gives you the engineering mindset needed to move from experiments to dependable systems.The projects are designed to reflect real-world workflows which you can discuss confidently in interviews and use to stand out as an AI engineer.Use wisely.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/825/209/9798252097244_b.jpg", "price_data" : { "retail_price" : "30.00", "online_price" : "30.00", "our_price" : "30.00", "club_price" : "30.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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