{"product_id":"hands-on-ai-engineering-code-first-guide-to-building-production-grade-llm-systems-with-python-accompanied-with-github-tutorials-learn-about-transformers-foundation-models-ml-pipelines","title":"Hands-On AI Engineering: Code First Guide to Building Production Grade LLM Systems with Python | Accompanied with GitHub Tutorials | Learn about Transformers Foundation Models \u0026 ML Pipelines","description":"\u003cdiv\u003e \u003cdiv\u003e \u003cdiv\u003e \u003cp\u003e\u003cspan\u003eHands-On AI Engineering covers both the construction of LLM systems and the core challenges modern AI teams face daily: performance limits, reliability, evaluation, and cost control.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWritten by 4 practicing AI engineers.\u003c\/span\u003e\u003cspan\u003e Inside you’ll learn how to design, build, and operate LLM systems that run efficiently, scale, and perform under pressure. Using local, open-source tools, without expensive cloud credits or black-box APIs.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWhat’s included…\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eTraining and Fine-Tuning Neural Networks with PyTorch\u003c\/span\u003e\u003cspan\u003e. A set framework on how to effectively train and adapt models using PyTorch.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eParameter-efficient fine-tuning\u003c\/span\u003e\u003cspan\u003e with LoRA and QLoRA, and how these techniques make it practical to customize large models on consumer GPUs.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eBuilding robust RAG pipelines\u003c\/span\u003e\u003cspan\u003e through smart chunking, hybrid retrieval, intelligent ranking, and faithfulness\/grounding mechanisms.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProper evaluation methods\u003c\/span\u003e\u003cspan\u003e including rubrics, LLM-as-a-judge, golden datasets, and regression testing for reliable assessment.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProduction realities\u003c\/span\u003e\u003cspan\u003e. Key insights into monitoring, guardrails, cost optimization, and reliable deployment of LLM systems.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003cspan\u003ePerformance add-ons (last chapter)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eA companion GitHub repository, carefully sequenced projects you can follow along with and build yourself.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProject 1 - Simple Companion Chat: \u003c\/span\u003e\u003cspan\u003eBasic chatbot built around a single document.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProject 2 - Personal Knowledge Q\u0026amp;A: \u003c\/span\u003e\u003cspan\u003eAsk questions over your own files with grounded answers.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProject 3 - Checked Q\u0026amp;A System: \u003c\/span\u003e\u003cspan\u003eCompare AI answers against expected results.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProject 4 - Conversational Agent: \u003c\/span\u003e\u003cspan\u003eMulti-turn chat with memory and simple tools.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProject 5 - Document Summarizer: \u003c\/span\u003e\u003cspan\u003eControlled summaries with basic quality checks.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eProject 6 - Chapter Explorer:\u003c\/span\u003e\u003cspan\u003e Turn text into outlines and short quizzes.\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e\u003cbr\u003e\u003cbr\u003eThese projects mirror modern team workflows and give you something concrete to show in interviews or client work.\u003c\/span\u003e\u003c\/p\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"Books Prime","offers":[{"title":"Default Title","offer_id":45922706784447,"sku":"e0568608-e185-4138-9a43-7bda09e57e16","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0761\/7550\/7647\/files\/a57d879698a7cd33e1c2c96a6f104de4.jpg?v=1785190080","url":"https:\/\/books-prime.com\/products\/hands-on-ai-engineering-code-first-guide-to-building-production-grade-llm-systems-with-python-accompanied-with-github-tutorials-learn-about-transformers-foundation-models-ml-pipelines","provider":"Books Prime","version":"1.0","type":"link"}